FrodoBots
@frodobots
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Serious: @BitRobotNetwork | Fun: @samismoving @robotsdotfun @UFBots | Shop: https://t.co/sTr5Lui9PL | Discord: https://t.co/3VHMYfoP5s
Joined February 2022
The bots are coming!.
UFB is the Fight Club for Humanoids. This is just a glimpse, the BIG ONE is coming soon. Stay tuned, San Francisco. The bots are comin'!
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Tks for the shoutout! @UFBots is the Fight Club for Humanoids.
when I quit my job at a humanoid robot company to start an underground humanoid robot fight club, barely anyone believed in me or this idea. I had no money to buy robots and knew very few people who had the ability to get robots. thankfully, I was able to find the best of the
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"FrodoBots isn’t just shipping cute robots, they’re building a playable infrastructure for robotics training.". @0xconglomerate eloquently captures why we're taking the playful path to solving embodied AI’s toughest problems. 🫡🎮🤖.
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DePIN composability FTW! . Tks for having us @GEODNET_ on the pod!.
In this video, GEODNET Project Creator Mike Horton (@mikeahorton) talks with @frodobots Co-Founder Michael Cho (@micoolcho) about:. - How FrodoBots started.- Their “Earth Rovers” demo.- Web3 integration.- Alignment with GEODNET’s real-world infrastructure mission.- Building a
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RT @Proof_Coverage: 1/ The only way to build AI models that drive robots is relentless, real-world testing. - @micoolcho from @BitRobotNetw….
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RT @micoolcho: A well-run robotic competition should lead to real progress in research; am excited to finally see this paper out there!. So….
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We hope to continue contributing to Earth Rover Challenge & spurring more research efforts based on such "in the wild" evaluations!. More deets coming soon on what's next for Earth Rover Challenge!.
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Congrats to all researchers & our co-authors from:. George Mason U: @XuesuXiao. Deepmind: @shahdhruv_ @xiao_ted @Stacormed @tingnan1986 @drzhuoxu Jie Tan. FrodoBots: @micoolcho Niresh Dravin Santiago Pravisani. NUS: David Hsu. Meta AI: @joannetruong. Georgia Tech: @naokiyokoyama0.
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The team from @UTAustin built a hybrid modular approach, comprised of obstacle avoidance, terrain preference alignment, global LOC, path planning and finally Ackermann motion controller.
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The team from @NUSingapore built a system with monocular navigation via traversability estimation with pretrained models coupled with selection of kinodynamically feasible trajectories in image space, without explicit 3D geometry reconstruction.
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The winning AI team from @SeoulNatlUni implemented a 3-module approach, using Costmap Generation, Localization and Action Planner.
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While the 1st ERC happened in Abu Dhabi at #IROS2024 , the actual missions were conducted in 8 cities around the world, from Kisumu to Singapore.
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Quick recap: Earth Rover Challenge (ERC) is an open-world "in the wild" competition where research teams built autonomous navigation models to control sidewalk robots, while taking on human gamers on real-world navigation missions.
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Our "Autonomous Mario Kart in the Wild" paper just dropped! . Co-authored by researchers from Deepmind, academia & our core team, here're some lessons from approaches by research teams @SeoulNatlUni, @NUSingapore & @UTAustin . A thread - 1/n 🧵
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RT @BitRobotNetwork: Congrats to the Socks Sorter, EZ 2 AI, and Symphony teams for finishing Top 3 at the Mountain View location for the @L….
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RT @BitRobotNetwork: And that's a wrap! . We're super excited to have been able to help organize the SF Bay Area @LeRobotHF hackathon . Tha….
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