All Human-robot alignment Contact-rich robot manipulation Fundamental methods

2024


Task-Driven Hybrid Model Reduction for Dexterous Manipulation
Wanxin Jin and Michael Posa
IEEE Transactions on Robotics (T-RO), 2024

Adaptive Contact-Implicit Model Predictive Control with Online Residual Learning
Wei-Cheng Huang, Alp Aydinoglu, Wanxin Jin, Michael Posa
IEEE International Conference on Robotics and Automation (ICRA), 2024

2023


Guaranteed Stabilization and Safety of Nonlinear Systems via Sliding Mode Control
Fan Ding, Jin Ke, Wanxin Jin, Jianping He, and Xiaoming Duan
IEEE Control Systems Letters, 2023

Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics
Shenao Zhang, Wanxin Jin, Zhaoran Wang
International Conference on Machine Learning (ICML), 2023

Enforcing Hard Constraints with Soft Barriers: Safe-driven Reinforcement Learning in Unknown Stochastic Environments
Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu
International Conference on Machine Learning (ICML), 2023

Robust Safe Learning and Control in Unknown Environments: An Uncertainty-Aware Control Barrier Function Approach
Jiacheng Li, Qingchen Liu, Wanxin Jin, Jiahu Qin, and Sandra Hirche
IEEE Robotics and Automation Letters (RA-L), 2023

D3G: Learning Multi-robot Coordination from Demonstrations
Xuan Wang, YiZhi Zhou, and Wanxin Jin
IEEE International Conference on Intelligent Robots and Systems (IROS), 2023.

Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning
Ni Dang, Tao Shi, Zengjie Zhang, Wanxin Jin, Marion Leibold, and Martin Buss
nternational Conference on Intelligent Transportation Systems (ITSC), 2023.

2022


Learning from Human Directional Corrections
Wanxin Jin, Todd D Murphey, Zehui Lu, and Shaoshuai Mou
IEEE Transactions on Robotics (T-RO), 2023

Learning from Sparse Demonstrations
Wanxin Jin, Todd D Murphey, Dana Kulic, Neta Ezer, and Shaoshuai Mou
IEEE Transactions on Robotics (T-RO), 2023

Learning Linear Complementarity Systems
Wanxin Jin, Alp Aydinoglu, Mathew Halm, and Michael Posa
Learning for Dynamics and Control (L4DC), 2022

Cooperative Tuning of Multi-Agent Optimal Control Systems
Zehui Lu, Wanxin Jin, Shaoshuai Mou, Brian D. O. Anderson
IEEE Conference on Decision and Control (CDC), 2022

2021


Inverse Optimal Control from Incomplete Trajectory Observations
Wanxin Jin, Dana Kulic, Shaoshuai Mou, and Sandra Hirche
International Journal of Robotics Research (IJRR), 40:848–865, 2021

Safe Pontryagin Differentiable Programming
Wanxin Jin, Shaoshuai Mou, and George J. Pappas
Advances in Neural Information Processing Systems (NeurIPS), 2021

Distributed Inverse Optimal Control
Wanxin Jin and Shaoshuai Mou
Automatica, Volume 129, 2021

Human-Automation Interaction for Assisting Novices to Emulate Experts by Inferring Task Objective Functions
Sooyung Byeon, Wanxin Jin, Dawei Sun, and Inseok Hwang
AIAA/IEEE 40th Digital Avionics Systems Conference (DASC) , 2021. Best Student Paper Finalist

2020


Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
Wanxin Jin, Zhaoran Wang, Zhuoran Yang, and Shaoshuai Mou
Advances in Neural Information Processing Systems (NeurIPS), 2020

2019


Inverse Optimal Control for Multiphase cost functions
Wanxin Jin, Dana Kulic, Jonathan Lin, Shaoshuai Mou, and Sandra Hirche
IEEE Transactions on Robotics (T-RO), 35(6):1387–1398, 2019