6 citations · 7 across the 13 of their papers we have counts for
4 papers · 1 filter
Observation-based Optimal Control Law Learning with LQR Reconstruction
Chendi Qu, Jianping He, Xiaoming Duan
Designing controllers to generate various trajectories has been studied for years, while recently, recovering an optimal controller from trajectories receives increasing attention.…
Model Selection for Inverse Reinforcement Learning via Structural Risk Minimization
Chendi Qu, Jianping He, Xiaoming Duan +1
Inverse reinforcement learning (IRL) usually assumes the reward function model is pre-specified as a weighted sum of features and estimates the weighting parameters only. However,…
HiCRISP: An LLM-based Hierarchical Closed-Loop Robotic Intelligent Self-Correction Planner
Chenlin Ming, Jiacheng Lin, Pangkit Fong +3
The integration of Large Language Models (LLMs) into robotics has revolutionized human-robot interactions and autonomous task planning. However, these systems are often unable to s…
Affordance-Driven Next-Best-View Planning for Robotic Grasping
Xuechao Zhang, Dong Wang, Sun Han +7
Grasping occluded objects in cluttered environments is an essential component in complex robotic manipulation tasks. In this paper, we introduce an AffordanCE-driven Next-Best-View…