From Operations to a Robot Arm
An operations researcher spent two months training a low-cost SO-ARM101 robot arm to pick up a Kirby toy and drop it in a bowl, reaching 90% success with a fourth model version after v1 hit 60%, v2 hi…
An operations researcher spent two months training a low-cost SO-ARM101 robot arm to pick up a Kirby toy and drop it in a bowl, reaching 90% success with a fourth model version after v1 hit 60%, v2 hi…
A developer detailed their experience training an Action Chunking with Transformer (ACT) policy for the LeRobot SO-ARM101, a low-cost 3D-printed robot arm from Hugging Face's ecosystem. They shared pr…
NVIDIA Isaac Lab has been extended to support the AgileX Dual-Arm Nero Manipulator, enabling developers to train dual-arm reinforcement learning policies for robotic manipulation. The open-source impl…
NVIDIA Isaac Lab now supports training reinforcement learning policies for the AgileX Dual-Arm Nero Manipulator, extending the SO-ARM101 implementation. The open-source project provides robot configur…