Chapter
The Future of Autonomous Vehicles in the Trucking Industry
2:55:47 - 3:04:59 (09:12)
The potential for the development of autonomous vehicles in the trucking industry is vast, with the ability to partner with a variety of experts in different fields such as perception, planning and logistics making for a well-rounded and innovative product. Although it is a long process, advancements in technology and robotics are making it an exciting and interesting field.
Clips
The future of robotics lies in collaborative projects where experts from different fields come together to optimize the technology.
2:55:47 - 3:00:08 (04:20)
Summary
The future of robotics lies in collaborative projects where experts from different fields come together to optimize the technology. Moving towards a robotics-based logistics system requires a team with expertise in perception, planning, mechanical engineering, autonomous driving, and computer science in order to innovate beyond what has already been developed.
ChapterThe Future of Autonomous Vehicles in the Trucking Industry
Episode#241 – Boris Sofman: Waymo, Cozmo, Self-Driving Cars, and the Future of Robotics
PodcastLex Fridman Podcast
The field of robotics and AI relies on established technologies such as file systems, virtual memory, and caching.
3:00:08 - 3:03:24 (03:15)
Summary
The field of robotics and AI relies on established technologies such as file systems, virtual memory, and caching. However, building physically intelligent machines for the real world presents complex challenges such as dealing with rough terrain and vegetation.
ChapterThe Future of Autonomous Vehicles in the Trucking Industry
Episode#241 – Boris Sofman: Waymo, Cozmo, Self-Driving Cars, and the Future of Robotics
PodcastLex Fridman Podcast
Autonomous driving presents not just technical, but also organizational challenges that require efficient coordination and multi-dimensional problem solving.
3:03:24 - 3:04:59 (01:35)
Summary
Autonomous driving presents not just technical, but also organizational challenges that require efficient coordination and multi-dimensional problem solving. The best advice for starting a robotic startup is to find a specific problem to solve and build a tech stack that enables efficient scaling.