Hao-Yang Du

AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation

The core insight is that a retrieved anchor affordance, which captures the desired contact point between the end-effector and the target object, can be propagated forward via affordance propagation, to yield an affordance trajectory that provides temporally consistent, state-aware guidance throughout execution.