Thanks @KhalaResearch for this deep dive into robot learning and how industry leaders are tackling the data bottleneck.
Great to see our subnet partner @axisrobotics featured alongside BitRobot’s ecosystem crowdsourcing data across teleoperation, simulation, and ego video!
Robotics is still waiting for its "ChatGPT" moment
Language models had the internet to learn from, while robots need diverse physical demonstrations that are expensive to collect
Bessemer estimated just 300,000 hours of robot manipulation data globally in April, while others
We're joining @TheHumanoidHub for their inaugural conference in SF today and tomorrow alongside @GroundedSI
Meet the team, get hands-on with our RoboCap + RoboWrist bundle, and see SOTA data enrichment in action.
Register below ↓
Speakers from 1X, Dyna Robotics, Skild AI, Google DeepMind, Physical Intelligence and more.
Humanoid robots, dexterous hands and more cool robotics demos on the floor.
The robotics community in one floor, and four NVIDIA Jetsons to give away.
Agenda:
Thank you @atlasberry008 for this in-depth intro to the RoboCap platform with data enrichment from @GroundedSI
We're cooking new earning opportunities for the RoboCap subnet in the coming weeks. Stay tuned 👀
BitRobot will pay you to wear a $500 hat at work.
Six cameras, pointed at your hands.
Robots have almost no training data, but people have all of it.
So the hats are going into bakeries, hotels and factories.
I would rather own what the humanoids learn from than fund the
A major robotics challenge is getting lab-trained policies to work reliably in the real world. Lighting, noise, crowds, and unfamiliar settings are all externalities.
That’s why we run the Grand Challenges: to test generalization in new environments, measure consistency, and set benchmarks that push robotics beyond the lab.
The first Humanoid IKEA Assembly Challenge, co-organized with @UnitreeRobotics, @LightwheelAI and @singaporetech, took place at @ieeeiros.
9 global teams tested their loco-manipulation policies to assemble an IKEA UTTER children’s table. Full results ↓
A really cool competition that pushes the frontier of what's possible in embodied ai. This is a really hard task -- paper is unforgiving -- and no one nailed it but substantial progress was made. Excited to see what people can do next year
The first ever Origami Challenge with @SharpaRobotics at @ieeeiros IROS 2026 concluded.
We asked teams to fold a paper airplane to test policies in dexterous manipulation.
14 global teams made it to the final round. Here are the results ↓
A simple paper airplane. A serious challenge for robotic dexterity. ✈️🤖
Proud to team up with @BitRobotNetwork for the first-ever Origami Challenge at #IROS2026.
Huge congratulations to all 14 finalist teams! Excited to see how far we can push the boundaries of dexterous manipulation together.
The first ever Origami Challenge with @SharpaRobotics at @ieeeiros IROS 2026 concluded.
We asked teams to fold a paper airplane to test policies in dexterous manipulation.
14 global teams made it to the final round. Here are the results ↓
DUM-E (@aakash_hash) earned the top placement with a score of 50/100.
Congrats to DUM-E and all 14 teams in the first origami challenge, and thanks to our co-organizers: Sharpa, Lightwheel, Nippon Origami Association, and more.
Stay tuned for the next iteration of the challenge: robotic-origami-challenge.github.io
Every team ran identical hardware: bimanual arms with Sharpa Hands, the same rig in sim, in the remote eval lab, and on the floor at IROS.
@SharpaRobotics is ahead of the field on tactile sensing and DoF (with 10 fingertips and 6-axis tactile, a 65-D joint space), making this challenging task more attemptable.
The first ever Origami Challenge with @SharpaRobotics at @ieeeiros IROS 2026 concluded.
We asked teams to fold a paper airplane to test policies in dexterous manipulation.
14 global teams made it to the final round. Here are the results ↓
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