IEEE

State-Attracted Functions-Based Trajectory Planning and Tracking Control for Uncertain Robotic Systems Based on a Human-Inspired Vector Field

Abstract: This article proposes a state-attracted function-based trajectory planning and tracking control (SAF-TPATC) method for robotic systems that achieves simultaneous trajectory planning, ...
IEEE

Correspondence-Free, Function-Based Sim-to-Real Learning for Deformable Surface Control

Abstract: This article presents a correspondence-free, function-based sim-to-real learning method for controlling deformable freeform surfaces. Unlike traditional sim-to-real transfer methods that ...