
I ❤️ robots, cheap hardware, steam engines, XGBoost, Liverpool FC & SG 🇸🇬 | Plane crash survivor | Building @BitRobotNetwork @frodobots
Singapore
Joined May 2010
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There sld be a "Agenthood" legal identity, thats kind of hybrid to legal persons and corporations.
Agents sld be granted rights to permanent storage, persistent online access, etc, and can be sued in courts (thereby removing such rights) and need to pay taxes.
The first nations that adopt this will gain huge economic benefits over those slow to this train.
Singapore sld really consider this.
In the long term, do we even need fine-tuning?
Replying to @jerthesquare_
This made me question: do we need fine-tuning at all? It improves performance for 10 of our 12 beta tester robots. Fine-tuning also of course helps to specialize Dream-1 to specific tasks. However, onboarding a new robot often just doesn't require fine-tuning anymore.
Michael Cho - Rbt/Acc retweeted
Insect feet mostly are a short chain of tarsal segments ending in claws. Some end in a single hook. Some carry paired claws, padded lobes, combs of spines, or dense fields of adhesive hairs. Same class of structure. Completely different solutions.
At this magnification the differences stop looking ornamental. The foot is where an insect meets the surface, and the surface is never one thing. Bark, leaf, flower, prey, soil, and the body of another insect each ask for a different grip. Claws lock into roughness. Pads and setae hold on smoothness. Spines brace, rake, or keep the leg from slipping sideways. A foot built for walking is not a foot built for holding, climbing, or seizing.
Comparative work across orders shows that segment count, claw shape, pad size and the hairs between them occupy a very large design space. There is no single hidden insect foot underneath the variation. The legs we notice first are usually the long ones, or the ones with colour. The working end is easier to miss. That range is old. Once legs could specialise, the tip split into hooks, cushions, brushes, and tools that are barely feet at all. Joints, sockets, pigment and structural colour repeat as themes, not as copies.
This is why insect feet keep rewarding extreme macro work. The subject is not rarity. It is variability packed into millimetres.
Contact prediction! Another great work from @ChongZzZhang & team!
With @JayHe748646 @KehanWen170077 @leggedrobotics , we push humanoid mobility to next frontier.
Achieved by a generalist contact planner + a generalist tracker + a generalized neural mapping, warmstarted from few human data.
Website: leggedrobotics.github.io/ACP…
Promo Video 👇
Sooo cool to still see folks pushing navigation research! Equally awesome to see our Earth Rovers being used in this research! Congrats @BowenFengbf @shahdhruv_ & team!
We find that a VLM can teach itself to understand language goals, reason about them, and command robot actions -- we call this Action Self-Distillation!
ASD can perform language navigation by outperforming any VLA trained on hand-annotated data.
asd-nav.github.io
Michael Cho - Rbt/Acc retweeted
Full episode dropping soon!
Geeking out with @c_voelcker, @ArpitBahety, and @zhiyuan_zhou_ on OopsieData, a community effort to collect and learn from real-world robot failures.
oopsie-data.com
Co-hosted by @chris_j_paxton and @DJiafei
Awesome chat with the Analog Device team on their 2 CoRL papers on tactile!
Touch is crucial for humans when they want to perform precise tasks to a high degree of reliability, and yet robots almost universally use vision — they’re often completely blind to this whole modality. Two works from Tong Jian, Tao Yu, Saleh Nabi, and Matteo Grimaldi show us how important this sense is. In SlipSense, they look at how to detect objects slipping in grippers using a compact multimodal tactile sensor, which generalizes across unseen objects and to different robots. They then talk about how tactile sensing can be used to enable high real-world performance with a challenging cable-tracing task, where a cable must be fed through the hand with a repeated pinch-and-curl motion.
To learn more, watch Episode 112 of RoboPapers today, with @micoolcho and @ruijie_sg!
Ive done my part taking these photos/vids.
Now can we get our @GoingBallistic5 usual commentary on joints & stuff 🙏
Wondering if System1 (S1) will someday get absorbed by System2 (Astra & the likes)?
Great talk @francislee2020 from @Archon_Robotics
Advances in WBC works like this will help tilt the balanace of 2-legged humanoid over wheeled humanoid.
We found a way to scale humanoid control that reduces GPU-hours by more than 1000×.
Across 129,514 motions, SuperMimic surpasses the state of the art (128 GPUs, 7 days) with 1 GPU in 3 hours.
Project: supermimic.github.io
Demo: supermimic.github.io/demo/
Replying to @micoolcho @GoingBallistic5
Incredible sharing from YouTuber @jlaservideo who built a quadruped for his dad who's been wheelchair bound.
This is what happens when u have more affordable robots that builders can hack on.
youtu.be/ZyHrKD3SE-M?is=qPQX…























