7 stars | 0 forks | Python
Official implementation of HPSG (Human Preference and Success-based Grasping), a deep reinforcement learning framework for end-to-end 4-DoF robotic grasping from RGB-D observations.
What it does
HPSG is a deep reinforcement learning framework that enhances robotic grasping by integrating human preferences with success feedback. This approach improves the reliability of grasping tasks, making it significant for robotics and AI applications.
Why it matters: Discover how HPSG revolutionizes robotic grasping by merging human preferences with success metrics!
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Ali NematiWritten by Ali
