RLAfford: End-to-End Affordance Learning for Robotic Manipulation.
2023 IEEE International Conference on Robotics and Automation (ICRA)（2023）
Key words
affordance based,contact information,critical interactions,different semantic categories,diverse shape geometry,end-to-end learning framework,interactive environment,manipulation processes,manipulation tasks,Reinforcement Learning,RL methods,RL training process,robotic manipulation,unified representation,unified visual representation,versatile functionality,visual affordance methods
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