Isaac Lab Example: Dual-Arm Nero Reach Training
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 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…
PSYONIC, led by Dr. Aadeel Akhtar, is repurposing its Ability Hand prosthetic as a data source for robot dexterity training, partnering with NVIDIA and ABB Robotics. The hand, worn by over 300 patient…
NVIDIA Isaac Lab on Amazon SageMaker AI now enables robotics teams to train reinforcement learning policies for humanoid robots at scale, using either SageMaker HyperPod for persistent cluster trainin…
NVIDIA Research presented eight new papers at the International Conference on Robotics and Automation (ICRA) demonstrating simulation-trained policies transferring to physical robots. The COMPASS navi…