Umur Atan

A Probabilistic Inference Approach for Skill-Based Shared Autonomy in Assistive Robotic Manipulation

We present a skill-based shared autonomy approach that addresses the policy blending problem by adaptively arbitrating control between human input and autonomous assistance. Our method uses Bayesian inference to continuously assess user skill from their control inputs and task performance, enabling