Generalized Robotic Grasping via Grasp-Pose Supervision, Object-Aware and Vision-Conditioned Policy Learning
Developed a general-purpose grasping system that achieved 82% success on 2,000+ diverse objects using reinforcement learning algorithms and advanced tools like Isaac Sim, IsaacLab, and PyTorch. View details
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