Robotics challenges. Gary Bradsky's slides from Skolkovo Robotics 2013
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The document discusses the $2M DARPA Grand Challenge, an autonomous vehicle race across the desert. The motivation was to develop autonomous supply lines for the military, but it ended up spurring civilian applications instead. The author was on the Stanford team that won the race. Though it failed to create autonomous military supply lines, it helped advance technologies like LIDAR and inspired applications at Google for self-driving cars and Street View. The success of the challenge was due to pre-existing relevant technologies, a large prize amount, support from DARPA, and companies able to commercialize the results.
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Robotics challenges. Gary Bradsky's slides from Skolkovo Robotics 2013
- 1. $2M DARPA Grand Challenge Autonomous Race Across the Desert • Motivation: – Problem: Casualties in Supply Lines in Iran – Solution: Autonomous Supply • Prize + support generated >10x investment • I was on the Stanford team (Stanley) that won
- 2. The Race
- 3. Result: • No autonomous supply built. • A failure in that sense • But it spurred civilian applications
- 4. Results: No automated supply line, but … • Google Robot Car • Streetview • New spinning LIDAR 4
- 5. Why the Challenge “Worked” • The core technologies were in place: – Lidar, SLAM • The prize amount was “enough” • The fostering organization had prestige/PR – Provided enough support/infrastructure • It was compelling, hard but do-able • It attracted enough top tier groups Finally: There was an infrastructure and economics to harvest it at the end: • Google/OpenCV/Car makers
- 6. Challenge for Russia • (My opinion) – Should fit “natural” advantages – Be of economic importance • Russia – Lots of land – Lots of poorly exploited resources (land, agriculture mining, forestry) – Relatively few people (east of Moscow) => Resource extraction or infrastructure for it
- 7. Possibilities • Timber extraction • Mining • Road building • Plant and harvest crops • Automatic cargo delivery/pick up • Ongoing delivery of cargo to a mobile remote group.
- 8. Obstacles • Less developed robotics groups • Technial infrastructure • Capital intense • How to ultimately harvest results? – Volkswagon, BMW, Toyota, GM, Google picked up the parts of the DARPA Grand Challenge
- 9. Infrastructure • Create an infrastructure base • Perception. OpenCV – Active development and support of the underlying techniques. – Why open? Resists monopolistic take over. Smaller players can get started with less capital barriers.