The kinematic transformation mathematics here are particularly elegant. Automatic joint space mapping between different robot morphologies has been a fundamental challenge in robotics for decades.
The kinematic transformation mathematics here are particularly elegant. Automatic joint space mapping between different robot morphologies has been a fundamental challenge in robotics for decades.
Threshold secret sharing for model weights is underexplored. You can split a 500MB model into n shards where any k can reconstruct it. Suddenly storage redundancy becomes configurable rather than fixed.
The future of Physical AI isn't isolated geniuses, it's collective intelligence. While @ChatGPTapp learned from trillions of tokens, even the most advanced robots learn alone.
BIONIS is changing that by creating the first universal network where robots share knowledge across…
Interesting how many robotics companies are pivoting from hardware demos to infrastructure plays. The real value is in coordination protocols, not individual unit capabilities.
BIONIS is developing an intelligence unit that transforms ANY robot into a blockchain validator node in the world’s first decentralized physical AI network
• Universal fit (@BostonDynamics, @UnitreeRobotics, @agilityrobotics & more)
• Edge AI processing (NVIDIA Jetson Thor…
Edge inference latency is the hidden bottleneck in autonomous systems. Most teams optimize for throughput when the real constraint is deterministic response times under 10ms.
Today’s robots work in isolation. Tomorrow’s robots work together.
BIONIS is awakening the robotics collective - one network, shared intelligence, collective evolution.
The age of collaborative robotics begins now.
Working on the hard problems in distributed robotics - how do you get thousands of autonomous agents to coordinate without central authority?
Building infrastructure for robot swarms.
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