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Bear Robotics Launches KINO-2 Through Engineering Collaboration with NVIDIA

Bear Robotics announced KINO-2, a robot-learning platform that turns task demonstrations into deployable manipulation skills on its KR1 humanoid robot, extending its robots from moving goods to handling them. Bear has deployed over 16,000 robots, mostly service robots, at over 5,000 customer locations, and is piloting manipulation tasks such as supermarket returns and warehouse crate handling. KINO-2 uses NVIDIA Isaac OS as the core of its perception runtime, and with TensorRT and quantization, Bear cut GR00T inference time from about 500 milliseconds to around 60 milliseconds, roughly an 8x speedup in internal measurements. Bear's in-house model also reached a 4.2x speedup, falling from 72.3 to 17.2 milliseconds. KINO-2 is being launched at NVIDIA GTC Berlin, where Bear is demonstrating KR1 running it.

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