AdaptManip: Learning Adaptive Whole-Body Object Lifting and Delivery with Online Recurrent State Estimation
AdaptManip is a learning framework for humanoid robots to autonomously navigate, lift, and deliver objects without human help. It uses a three-stage strategy involving locomotion, manipulation control, and an online recurrent estimator that tracks the object's position using vision and robot feedback. This allows the robot to handle complex tasks robustly in real-world scenarios.