Podcasts about darpa urban challenge

Edwin Olson is founder and CEO of May Mobility. He joins the Future of Mobility podcast for a Round 2 topic, centered around May Mobility's strategy for growth and impact in the autonomous vehicle space. We also explore how Edwin and May Mobility have evolved since the Round 1 discussion in early 2020. Takeaways May Mobility aims to end personal car ownership by making public transit a more attractive and efficient option. The right vehicle for the right population density is crucial in providing effective autonomous transportation. Long-term contracts with cities provide a strong revenue stream and help finance the vehicles. Balancing realism and vision is important in leadership, acknowledging challenges while working towards a grand vision. Building a positive company culture is essential for success in the autonomous vehicle industry. Effective communication is crucial for success in personal and professional relationships. Building trust and rapport is essential for effective communication. Active listening and empathy play a significant role in understanding others and fostering meaningful connections. Non-verbal communication, such as body language and facial expressions, can convey important messages. Identifying and overcoming communication barriers is key to effective communication. Chapters Introduction and Evolution of May Mobility The Goal: Ending Personal Car Ownership Challenges of Personal Car Ownership The Vision of Autonomous Vehicles Key Assumptions for Autonomous Vehicles in Public Transit The Right Vehicle for the Right Population Density Carving Out the Right Solution for the Technology's Capabilities The Advantage of Long-Term Contracts with Cities Choosing the Right Growth Strategy Balancing Realism and Vision in Leadership Scaling Challenges and Vehicle Supply Leadership Lessons in the Autonomous Vehicle Industry Building a Positive Company Culture The Importance of Effective Communication Building Trust and Rapport Active Listening and Empathy Conclusion Links: Show notes: http://brandonbartneck.com/futureofmobility/edwinolson2 https://www.linkedin.com/in/edwin-olson/ https://maymobility.com/ Bio: Edwin Olson is co-founder and CEO of May Mobility, Inc. He has focused on the development of autonomous vehicles for more than two decades, co-leading autonomous vehicle development at Toyota Research Institute and helping to develop Ford Motor Company's autonomous vehicles. He has a doctorate in electrical engineering and computer science from MIT and is a professor of computer science at the University of Michigan. Olson got his start in autonomous technology participating in the DARPA Urban Challenge in 2007 as part of the MIT team. He was named one of Crain's Detroit Business' Notable Leaders in Energy in 2023. Company description: May Mobility develops autonomous vehicle (AV) technology and deploys fleets of vehicles to municipal and business customers. Its proprietary Multi-Policy Decision Making (MPDM) system is at the core of its mission to help make cities safer, greener and more accessible. MPDM's proven track record has delivered more than 350,000 autonomy-enabled rides to date in several public transit applications across the U.S. and Japan. With key strategic partnerships including some of the world's most innovative automotive and transportation companies, such as Toyota Motor Corporation and NTT, May Mobility aims to achieve the highest standard in rider safety, sustainability and transportation equity. Future of Mobility: The Future of Mobility podcast is focused on the development and implementation of safe, sustainable, effective, and accessible mobility solutions, with a spotlight on the people and technology advancing these fields. Edison Manufacturing and Engineering: Edison is your low volume contract manufacturing partner, focused on assembly of complex mobility and energy products that don't neatly fit within traditional high-volume production methods.

We're joined by John Hayes, CEO and Cofounder of Ghost, a self-driving car startup using multimodal LLMs to solve the autonomous driving problem, that OpenAI just invested $5 million into. If you need an ERP platform, check out our sponsor NetSuite: http://netsuite.com/cognitive. SPONSORS: Shopify is the global commerce platform that helps you sell at every stage of your business. Shopify powers 10% of ALL eCommerce in the US. And Shopify's the global force behind Allbirds, Rothy's, and Brooklinen, and 1,000,000s of other entrepreneurs across 175 countries.From their all-in-one e-commerce platform, to their in-person POS system – wherever and whatever you're selling, Shopify's got you covered. With free Shopify Magic, sell more with less effort by whipping up captivating content that converts – from blog posts to product descriptions using AI. Sign up for $1/month trial period: https://shopify.com/cognitive With the onset of AI, it's time to upgrade to the next generation of the cloud: Oracle Cloud Infrastructure. OCI is a single platform for your infrastructure, database, application development, and AI needs. Train ML models on the cloud's highest performing NVIDIA GPU clusters. Do more and spend less like Uber, 8x8, and Databricks Mosaic, take a FREE test drive of OCI at oracle.com/cognitive NetSuite has 25 years of providing financial software for all your business needs. More than 36,000 businesses have already upgraded to NetSuite by Oracle, gaining visibility and control over their financials, inventory, HR, eCommerce, and more. If you're looking for an ERP platform ✅ head to NetSuite: http://netsuite.com/cognitive and download your own customized KPI checklist. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off. X/SOCIAL: @labenz (Nathan) @ghosthayes (John) @GhostAutonomy @CogRev_Podcast TIMESTAMPS: 00:00:00) - Introduction to John Hayes and Ghost Autonomy's partnership with OpenAI (00:04:30) - The journey to founding Ghost, and how multimodal LLMs will change self-driving cars (00:05:03) - John's background founding Pure Storage and moving into autonomy (00:09:37) - Classic autonomy stack built off DARPA Urban Challenge (00:13:24) - Overview of different self-driving technology stacks (Lidar vs cameras) (00:14:03) - Sponsors: Shopify | Omneky (00:25:39) - Different approaches to how we know self-driving cars work well enough for public deployment (00:27:30) - Different gradations of autonomy in the self-driving industry (00:32:21) - Sponsors: Netsuite | Oracle (00:34:24) - Current state of robotaxis and China (00:37:39) - Uncanny valley in the robotaxi world (00:39:47) - Where Ghost fits into the autonomous driving landscape and their tech stack (00:50:51) - Affordable radar systems (00:51:54) - Ghost's approach to interpretability (00:53:27) - Using LLMs for driving (00:54:59) - Partnership with OpenAI and how Ghost's unique LLM solution to the self-driving problem (00:57:40) - GPS' unreliability which can be solved by multimodal approach (01:02:31) - Hallucination is the best part of LLMs (01:04:09) - Using maps as extended memory and storage for driving data (01:09:20) - Ghost business model and the user experience (01:13:30) - Talking to our software as the next wave of human-computer interaction (01:16:37) - OpenAI as currently the only provider of advanced multimodal models (01:18:52) - How society feels about self-driving cars (01:24:17) - How self-driving cars should address fear and standing up for the technology (01:29:30) - AI: China and the US, and why China is being pushed towards self-driving (01:31:39) - Regulators in the US are responsive to consumers (01:32:26) - VC subsidization of self-driving (01:33:25) - John's widest angle outlook on the AI revolution

On this episode of Feudal Future, hosts Joel Kotkin and Marshall Toplansky are joined by robotics engineer, Wyatt Newman, and executive director of the Twin Institute, Michael Grieves, to discuss industrial artificial intelligence.Dr. Michael Grieves is an internationally renowned expert on Digital Twins, a concept that he originated, and organizational digital transformation. His focus is on product development, engineering, systems engineering and complex systems, manufacturing, especially additive manufacturing, and operational sustainment. Dr. Grieves has written the seminal books on Product Lifecycle Management and the seminal papers and chapterson Digital Twins, He has consulted and/or done research at some of the top global organizations, including NASA, Boeing, Unilever, Newport News Shipbuilding, and General Motors.In addition to his academic credentials, Dr. Grieves has over five decades of extensive executive and deep technical experience in both global and entrepreneurial technology and manufacturing companies. He has been a senior executive at both Fortune 1000 companies and entrepreneurial organizations during his career. He founded and took public a national systems integration company and subsequently served as its audit andcompensation committee chair. Dr. Grieves has substantial board experience, including serving on the boards of public companies in the United States, China, and Japan.Dr. Grieves earned his B.S. Computer Engineering from Michigan State University, an MBA from Oakland University, and his doctorate from Case Western Reserve University.Wyatt Newman is a professor in the EECS Dept at Case Western Reserve University. He has multidisciplinary degrees from Harvard, M.I.T. and Columbia. His research in robotics and intelligent systems spans over 30 years and includes 12 patents, over 150 publications, and a new textbook on the Robot Operating System. He is a former NSF Young Investigator and has been a visiting fellow at Princeton, U. Edinburgh and U. Hong Kong. He led robotics teams in the 2007 DARPA Urban Challenge for autonomous vehicles and in the 2015 DARPA Robotics Challenge. Dr. Newman is a technical advisor to Robo Global.DOWNLOAD OUR NEWEST REPORT:Housing Report: Blame Ourselves, Not Our Starshttps://www.chapman.edu/communication/demographics-policy/california-housing-report-2023.pdfExecutive Summary:No issue plagues Californians more than the high cost of housing. By almost every metric—from rents to home prices—Golden State residents suffer the highest burden for shelter of any state in the continental U.S.Its housing prices are, adjusted for income, as much as two to three times higher than those in key competitive states, such as Florida, Texas, Tennessee, and North Carolina, and neighbors like Arizona and Nevada.Visit Our Pagewww.TheFeudalFuturePodcast.comSupport Our WorkThe Center for Demographics and Policy focuses on research and analysis of global, national, and regional demographic trends and explores policies that might produce favorable demographic results over time. It involves Chapman students in demographic research under the supervision of the Center's senior staff.Students work with the Center's director and engage in research that will serve them well as they look to develop their careers in business, the social sciences, and the arts. Students also have access to our advisory board, which includes distinguished Chapman faculty and major demographic scholars from across the country and the world.For additional information, please contact Mahnaz Asghari, sponsored project analyst for the Office of Research, at (714) 744-7635 or asghari@chapman.edu.Follow us on LinkedIn:https://www.linkedin.com/company/the-feudal-future-podcast/Tweet thoughts: @joelkotkin, @mtoplansky, #FeudalFuture #BeyondFeudalismL

John Hayes, Founder & CEO, Ghost Autonomy joined Grayson Brulte on The Road to Autonomy podcast to discuss why advanced technology is invisible and how Ghost plans to scale autonomous driving. The conversation begins with John discussing the founding of Pure Storage and what he say in the market when he founded that company and how that compares to the founding of Ghost Autonomy.Our data storage company was actually founded on the basis of trends and consumer technology. – John HayesSimilar to the way that storage was changing, John saw an opportunity to build a new modern autonomy stack that was not built on the DARPA Urban Challenge stack, but one that was based on consumer technology. Let's look at what emerging trends are out there in hardware and where can we make smart software and what industry can we go into. – John HayesWhen Ghost first started to develop their autonomy stack, they started with a stereo camera-only approach and in the middle of 2021, they added radar to the stack. The direction we took with radar was to go in a software defined direction. – John HayesOne of the main defining aspects of the Ghost Autonomy stack is that they have engineered the stack to make it as invisible as possible. In addition to being almost invisible, the stack operates on low-power which will allow electric vehicles running their autonomy system to have more range. The hardware running on this low-power compute are four camera pairs and one high-resolution radar pointing forward. From a use-case scenario Ghost has engineered an SAE Level 4 design for highway use and an SAE Level 2 design for non-highway use. It's a rolling ODD where you increase the competence at slower and slower speeds over time. – John HayesComparing and contrasting the Ghost Autonomy system to a traditional SAE Level 2 system, the system is more intuitive. From the user experience point of view, we focus very much on a concept system called collaborative driving, where there isn't a button that you push to activate it. You are on the highway, it says you can drive anytime you want by turning and indicator blue and you let go of the steering wheel and it turns green. And you do not set anything, the car just goes and picks a reasonable speed and a reasonable following distance. – John HayesThis is built on John's fundamental belief that that advanced technology is invisible in a way. The Ghost system does not have button or nobs, the system just works. Today a human has to click the ticker to change lanes, but in the future Ghost is working on a navigation system where the vehicle will simply just change the lane without being promoted to by the driver. I want to make the system extremely scalable so that you wouldn't have to enter a destination to activate it. You just start driving and if you just want to let go of the wheel for 30 seconds to send a text, that's a perfectly valid way to interact with the system. – John HayesFrom a business standpoint, Ghost is going to commercialize the product by licensing their software to OEMs.Wrapping up the conversation, John discusses the future of Ghost Autonomy.Follow The Road To Autonomy on Apple PodcastsFollow The Road To Autonomy on LinkedInFollow The Road To Autonomy on TwitterRecorded on Friday, April 7, 2023See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Jan Becker, CEO & Co-Founder, Apex AI joined Grayson Brulte on The Road to Autonomy podcast to discuss how the autonomous vehicle industry has evolved from the 2007 DARPA Urban Challenge to the dawn of the era of commercialization in 2023. The conversation begins with Jan discussing the 2007 DARPA Urban Challenge and his role on Stanford's team.People called it the Woodstock of Robotics. – Jan BeckerThe DARPA Challenges showed the world that it was possible to make a car drive itself. It was these challenges sponsored by the U.S. Goverment and led to the founding of the autonomous vehicle industry.One of the outcomes of the DARPA Urban Challenge was that Google started and funded Waymo and Waymo then really showed in my opinion the automotive companies that autonomous driving can be done as a product. – Jan BeckerIt has been 15 years since the DARPA Urban Challenge and the world of autonomy has changed drastically. Autonomy is now maturing, scaling and commercializing. The hype cycle of 2000's has faded along with the timeline as autonomous vehicles are now becoming a commercial business. One of the trends that is beginning to emerge is the personally owned autonomous vehicle. While this trend is still in it's early days, it its a trend that will have a significant impact on the future autonomy as consumers will come to expect this feature. Then there are autonomous trucks which will initially roll out as a hub-to-hub model where the trucks will operate fully autonomously on the highway. When they arrive at the hub (depot), the freight will be switched to smaller vehicles some of which will be autonomous. The low hanging fruit in my opinion is really to automate the hub-to-hub transportation. – Jan BeckerWith the industry maturing, Apex AI is developing safety-certified, developer-friendly and scalable software that allows developers to build safe reliable software for mobility platforms. By building on Apex AI, developers can do what they do best – build applications. What we provide are the libraries, the functionality to enable our customers, the developers, the car companies to build software that scales. – Jan BeckerWrapping up the conversation, Jan shares his thoughts on the universal driver and how he sees autonomous vehicles scaling. Follow The Road To Autonomy on Apple PodcastsFollow The Road To Autonomy on LinkedInFollow The Road To Autonomy on TwitterRecorded on Tuesday, February 28, 2023See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Jan Becker is President, CEO and Co-Founder of Apex.AI, Inc. He is also the Managing Director of the Apex.AI GmbH. Key topics in this conversation include: Understanding software defined vehicles Apex.Grace, Apex.Ida, and Apex.OS Building the operating system for autonomous vehicles that is designed to never fail Apex.AI's role enabling autonomy outside of automotive Functional safety considerations for modular software How Apex.AI is making their mark on the industry Links: Show notes: http://brandonbartneck.com/futureofmobility/janbecker https://www.apex.ai/ https://www.linkedin.com/in/janbecker23/ Jan's bio Jan Becker is President, CEO and Co-Founder of Apex.AI, Inc. He is also the Managing Director of the Apex.AI GmbH, our subsidiary in Germany. Prior to founding Apex.AI, he was Senior Director at Faraday Future responsible for Autonomous Driving and Director at Robert Bosch LLC responsible for Automated Driving in North America. He also served as a Senior Manager and Principal Engineer at the Bosch Research and Technology Center in Palo Alto, CA, USA, and as a senior research engineer for Corporate Research at Robert Bosch GmbH, Germany. Since 2010, Jan is Lecturer at Stanford University for autonomous vehicles and driver assistance. Previously, he was a visiting scholar at the University's Artificial Intelligence Lab and a member of the Stanford Racing Team for the 2007 DARPA Urban Challenge. In 2019, Jan was appointed to serve on the external Advisory Board of MARELLI to provide strategic advice to the MARELLI Board. In 2018, he co-founded the Autoware Foundation and was on the foundation's board of directors until 2020. Jan earned a Ph.D. in control engineering from the Technical University of Braunschweig, Germany, a master's degree in mechanical and aerospace engineering from the State University of New York at Buffalo, USA, and a master's degree in electrical engineering from the Technical University of Darmstadt, Germany. About Apex.AI Apex.AI is a Palo Alto, Munich, Berlin, Stuttgart and Gothenburg-based company that is developing breakthrough safe, certified, developer-friendly, and scalable software for mobility systems. Our software products are based on proven open-source software, such as ROS or Eclipse iceoryx, so that we don't spend time redeveloping what already works. Instead, we fork software that has been developed and proven in use by large developer communities. We then add what is missing: Functional safety, flawless performance, and support for application in commercial and safety-critical products. In order to do so, we have developed a proprietary process to rework open-source software in record time such that it conforms to the highest requirements of the applicable functional safety standard. We launched our award-winning first product Apex.Grace, formerly known as Apex.OS, after three years in 2020 and have taken it through certification in record time for launch in 2021. Future of Mobility: The Future of Mobility podcast is focused on the development and implementation of safe, sustainable, effective, and accessible mobility solutions, with a spotlight on the people and technology advancing these fields. Edison Manufacturing: Edison manufacturing is your low volume contract manufacturing partner for build and assembly of complex mobility and energy products that don't neatly fit within traditional high-volume production methods.

Sam Bell chairs the Transportation Advisory Committee in Cleveland Heights, Ohio. As you will hear, that led him to close his highly-regarded auto repair shop in order to devote himself full-time to a small startup venture called RoadPrintz where he and his partner have been working to develop an operator-driven, truck-mounted, mobile robotic pavement marking system. He serves as a member of the City of Cleveland's Design and Engineering Subcommittee of the Vision Zero Taskforce, and is a Board Member of ATSSA's [American Traffic Safety Services] Ohio Chapter. He is the Principal Investigator on an ongoing National Science Foundation project in support of his company's R&D efforts. He is married to his wife of 47 years, and is, he assures us, her ticket to sainthood! Sam, who has frequently been described as a true renaissance man, has a working fluency in Classical Greek and Latin, built his first tube-type computer in the 1950's, and was named as a Champion of Sustainability in 2010, before it was cool. That same year, he became the only ASE-Automotive Technician ever to earn three consecutive perfect scores on the Advanced Level Certification exam, a feat for which he was named ASE Technician of the Year. As a Contributing Editor, he wrote numerous articles for MOTOR Magazine over a 20-year period, and served as a judge on its Top 20 Tool panel. He's the author of several very geeky books and has helped with tool development projects for Snap-On, Matco, Hickok Instruments, and others. His dad was a NASA engineer who believed you should never own anything you couldn't fix yourself. Sam met his partner, Wyatt Newman, PhD, PE, in 2007 when they were both involved in developing an autonomous robotic vehicle as part of the DARPA Urban Challenge. Their vehicle, codenamed DEXTER, was built without a driver's seat or a steering wheel. DEXTER can be seen at the Crawford Auto/Aviation Museum in Cleveland, Ohio. Twitter @RoadPrintz LinkedIn https://www.linkedin.com/in/roadprintz/ Facebook https://www.facebook.com/Roadprintz Website URL www.roadprintz.com

In this episode, we chat with Futurist and technology innovator, Brian Satterfield, about his role in the DARPA Urban Challenge, in building robots that can navigate dynamically in dense crowds of people, and about covert robots that don't want you to know they're there. Listen in for front line stories about what it's like to lead generation after next innovation for the Defense Department and the robotics community. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/wewonder/message

Sebastian Thrun is one of the greatest roboticists, computer scientists, and educators of our time. He led development of the autonomous vehicles at Stanford that won the 2005 DARPA Grand Challenge and placed second in the 2007 DARPA Urban Challenge. He then led the Google self-driving car program which launched the self-driving revolution. He taught the popular Stanford course on Artificial Intelligence in 2011 which was one of the first MOOCs. That experience led him to co-found Udacity, an online education platform. He is also the CEO of Kitty Hawk, a company working on building flying cars or more technically

On this episode, Pete and new Shift editor Leslie Allen talk to famed roboticist Red Whittaker on his past as a DARPA Urban Challenge champion and his views on the state of autonomous vehicles. They also talk to Magna CTO Swamy Kotagiri about the company’s AV developments and his predictions for AV tech.

Self-driving cars are coming. Ford is betting $1 billion dollars over five years that Argo Ai can make it happen.   CEO Bryan Salesky calls upon his experience leading the software engineering for Tartan Racing, Carnegie Mellon’s winning entry in the DARPA Urban Challenge as he tries to build the future.   He also was on the Google self-driving car team. While at Google, Bryan was director of hardware development, and was responsible for development and manufacture of Google’s portfolio of hardware, which included self-driving sensors, computers and several vehicle development programs.   Do not miss this interview.   Never miss one of our best episodes by subscribing to the newsletter.   Bryan’s Challenge; Choose a day of the week where you commute and do not use your phone.   Connect with Bryan LinkedIn Website   Underwritten by Piper Creative A digital agency that provides strategy, delivery, and analysis specializing in a few key service offerings. Documentary-as-a-Service (Vlogging 2.0) Instagram Content Production & Account Building Podcast Production, Strategy Consulting, and Guest Acquisition   If you aren’t creating or curating content regularly, your clients and customers might forget you’re open for business. YouTube Instagram   If you liked this interview, check out other interviews with tech CEOs like Niche.com’s Luke Skurman, RE2 Robotics Jorgen Pedersen, and Jetpack Workflow’s David Cristello. Subscribe on iTunes | Stitcher | Overcast | PodBay

A decade ago, the very first self-driving cars were still figuring out how to avoid obstacles and cross intersections. Today, although they’re still in testing mode, autonomous vehicles are a common sight on the streets of Pittsburgh and other cities. And by 2035, some business forecasters say we’ll be entering the passenger economy – where it will be routine for a computer do the driving while you nap, catch up on work or watch a movie. What’s behind this rapid progress in autonomous vehicles, and what’s on the road ahead? Our guest today will help us understand the fascinating, fast-changing science of self-driving cars and artificial intelligence. Dr. Wyatt Newman is a professor in the Department of Electrical Engineering and Computer Science at Cleveland’s Case Western Reserve University, where he’s taught since 1988. He’s an expert in robotics and artificial intelligence. He holds 12 patents and has written more than 150 technical publications, including a new textbook on robot programming. Professor Newman led student teams competing in the 2007 DARPA Urban Challenge for autonomous vehicles, and the 2015 DARPA Robotics Challenge.

Speaker: Prof. J. Leonard Abstract: This talk will have two parts. In part one, we will review recent progress in mobile robotics, focusing on the problems of simultaneous mapping and localization (SLAM) and cooperative navigation of mobile sensor networks. The problem of SLAM is stated as follows: starting from an initial position, a mobile robot travels through a sequence of positions and obtains a set of sensor measurements at each position. The goal is for the mobile robot to process the sensor data to compute an estimate of its position while concurrently building a map of the environment. We will present SLAM results for several scenarios including land robot mapping of large-scale environments and undersea mapping using optical imaging sensors. We will also describe work on cooperative navigation for networks of autonomous underwater vehicles (AUVs) and autonomous sea-surface vehicles (ASVs). In the second part of the talk, we will provide an overview of MIT's entry in the 2007 DARPA Urban Challenge. The goal of this effort was to produce a car that can drive autonomously in traffic. Our team developed a novel strategy for using a large number of many inexpensive sensors, mounted on the vehicle periphery, and calibrated with a new cross-modal calibration technique. Lidar, camera, and radar data streams are processed using an innovative, locally smooth state representation that provides robust perception for real-time autonomous control. A resilient planning and control architecture has been developed for driving in traffic, comprised of an innovative combination of well-proven algorithms for mission planning, situational planning, situational interpretation, and trajectory control. The performance of our system in the NQE and race events will be reviewed, and ideas for future research will be discussed. For more information, see http://grandchallenge.mit.edu Joint work with Seth Teller, Michael Bosse, Paul Newman, Ryan Eustice, Matthew Walter, Hanumant Singh, Henrik Schmidt, Mike Benjamin, Alexander Bahr, Joseph Curcio, Andrew Patrikalakis, Matt Antone, David Barrett, Mitch Berger, Ryan Buckley, Stefan Campbell, Alexander Epstein, Gaston Fiore, Luke Fletcher, Emilio Frazzoli, Robert Galejs, Jonathan How, Albert Huang, Karl Iagnemma, Troy Jones, Sertac Karaman, Olivier Koch, Siddhartha Krishnamurthy, Yoshi Kuwata, Keoni Maheloni, David Moore, Katy Moyer, Edwin Olson, Andrew Patrikalakis, Steve Peters, Stephen Proulx, Nicholas Roy, Daniela Rus, Chris Sanders, Seth Teller, Justin Teo, Robert Truax, Matthew Walter, and Jonathan Williams.

Speaker: Prof. J. Leonard Abstract: This talk will have two parts. In part one, we will review recent progress in mobile robotics, focusing on the problems of simultaneous mapping and localization (SLAM) and cooperative navigation of mobile sensor networks. The problem of SLAM is stated as follows: starting from an initial position, a mobile robot travels through a sequence of positions and obtains a set of sensor measurements at each position. The goal is for the mobile robot to process the sensor data to compute an estimate of its position while concurrently building a map of the environment. We will present SLAM results for several scenarios including land robot mapping of large-scale environments and undersea mapping using optical imaging sensors. We will also describe work on cooperative navigation for networks of autonomous underwater vehicles (AUVs) and autonomous sea-surface vehicles (ASVs). In the second part of the talk, we will provide an overview of MIT's entry in the 2007 DARPA Urban Challenge. The goal of this effort was to produce a car that can drive autonomously in traffic. Our team developed a novel strategy for using a large number of many inexpensive sensors, mounted on the vehicle periphery, and calibrated with a new cross-modal calibration technique. Lidar, camera, and radar data streams are processed using an innovative, locally smooth state representation that provides robust perception for real-time autonomous control. A resilient planning and control architecture has been developed for driving in traffic, comprised of an innovative combination of well-proven algorithms for mission planning, situational planning, situational interpretation, and trajectory control. The performance of our system in the NQE and race events will be reviewed, and ideas for future research will be discussed. For more information, see http://grandchallenge.mit.edu Joint work with Seth Teller, Michael Bosse, Paul Newman, Ryan Eustice, Matthew Walter, Hanumant Singh, Henrik Schmidt, Mike Benjamin, Alexander Bahr, Joseph Curcio, Andrew Patrikalakis, Matt Antone, David Barrett, Mitch Berger, Ryan Buckley, Stefan Campbell, Alexander Epstein, Gaston Fiore, Luke Fletcher, Emilio Frazzoli, Robert Galejs, Jonathan How, Albert Huang, Karl Iagnemma, Troy Jones, Sertac Karaman, Olivier Koch, Siddhartha Krishnamurthy, Yoshi Kuwata, Keoni Maheloni, David Moore, Katy Moyer, Edwin Olson, Andrew Patrikalakis, Steve Peters, Stephen Proulx, Nicholas Roy, Daniela Rus, Chris Sanders, Seth Teller, Justin Teo, Robert Truax, Matthew Walter, and Jonathan Williams.

This week on the Naked Scientists we seek solutions to your science questions. From finding the site of the big bang to repairing the retina, mirages on the motorway to fruit fireworks in your microwave. We also find out why staying in bed could help you keep slim, we explore the genes that let flies get drunk, and discover the source of the so-called "Oh My God! Particles", which have 100 million times more energy than in our biggest particle accelerators. Also, we catch up with the latest in robotic cars and learn about the micro-microwave being used for analysis in the field. Plus, in a... Like this podcast? Please help us by supporting the Naked Scientists

Audio CAPTCHAs, avoiding CAPTCHAs with akismet, Google's ESP game for image labeling, Profiles in IT (Karlheinz Brandenburg, father of MP3), Virginia Tech places 3rd in DARPA Urban Challenge, electronic voting machine update, installing Ubuntu Linux, and free opensource software (Open Office, GimpShop, Audacity, MediaCoder). This show originally aired on Saturday, November 10, 2007, at 9:00 AM EST on 3WT Radio (WWWT).

Audio CAPTCHAs, avoiding CAPTCHAs with akismet, Google's ESP game for image labeling, Profiles in IT (Karlheinz Brandenburg, father of MP3), Virginia Tech places 3rd in DARPA Urban Challenge, electronic voting machine update, installing Ubuntu Linux, and free opensource software (Open Office, GimpShop, Audacity, MediaCoder). This show originally aired on Saturday, November 10, 2007, at 9:00 AM EST on 3WT Radio (WWWT).

This week on the Naked Scientists we seek solutions to your science questions. From finding the site of the big bang to repairing the retina, mirages on the motorway to fruit fireworks in your microwave. We also find out why staying in bed could help you keep slim, we explore the genes that let flies get drunk, and discover the source of the so-called "Oh My God! Particles", which have 100 million times more energy than in our biggest particle accelerators. Also, we catch up with the latest in robotic cars and learn about the micro-microwave being used for analysis in the field. Plus, in a... Like this podcast? Please help us by supporting the Naked Scientists