Wanxin Jin

According to our database, Wanxin Jin authored at least 31 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Task-Driven Hybrid Model Reduction for Dexterous Manipulation.

Wanxin Jin, Michael Posa

IEEE Trans. Robotics, 2024

Language-Model-Assisted Bi-Level Programming for Reward Learning from Internet Videos.

Harsh Mahesheka, Zhixian Xie, Zhaoran Wang, Wanxin Jin

CoRR, 2024

ContactSDF: Signed Distance Functions as Multi-Contact Models for Dexterous Manipulation.

Wen Yang, Wanxin Jin

CoRR, 2024

Complementarity-Free Multi-Contact Modeling and Optimization for Dexterous Manipulation.

Wanxin Jin

CoRR, 2024

A Differential Dynamic Programming Framework for Inverse Reinforcement Learning.

Kun Cao, Xinhang Xu, Wanxin Jin, Karl Henrik Johansson, Lihua Xie

CoRR, 2024

Safe MPC Alignment with Human Directional Feedback.

Zhixian Xie, Wenlong Zhang, Yi Ren, Zhaoran Wang, George J. Pappas, Wanxin Jin

CoRR, 2024

CarbonCP: Carbon-Aware DNN Partitioning with Conformal Prediction for Sustainable Edge Intelligence.

Hongyu Ke, Wanxin Jin, Haoxin Wang

CoRR, 2024

How Can LLM Guide RL? A Value-Based Approach.

Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang

CoRR, 2024

Adaptive Contact-Implicit Model Predictive Control with Online Residual Learning.

Wei-Cheng Huang, Alp Aydinoglu, Wanxin Jin, Michael Posa

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Robust Safe Learning and Control in an Unknown Environment: An Uncertainty-Separated Control Barrier Function Approach.

Jiacheng Li, Qingchen Liu, Wanxin Jin, Jiahu Qin, Sandra Hirche

IEEE Robotics Autom. Lett., October, 2023

Learning From Human Directional Corrections.

Wanxin Jin, Todd D. Murphey, Zehui Lu, Shaoshuai Mou

IEEE Trans. Robotics, February, 2023

Learning From Sparse Demonstrations.

Wanxin Jin, Todd D. Murphey, Dana Kulic, Neta Ezer, Shaoshuai Mou

IEEE Trans. Robotics, February, 2023

Guaranteed Stabilization and Safety of Nonlinear Systems via Sliding Mode Control.

Fan Ding, Jin Ke, Wanxin Jin, Jianping He, Xiaoming Duan

IEEE Control. Syst. Lett., 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, Martin Buss

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics.

Shenao Zhang, Wanxin Jin, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2023

Enforcing Hard Constraints with Soft Barriers: Safe 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

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning multi-robot coordination from demonstrations.

Xuan Wang, Wanxin Jin

CoRR, 2022

Learning Linear Complementarity Systems.

Wanxin Jin, Alp Aydinoglu, Mathew Halm, Michael Posa

Proceedings of the Learning for Dynamics and Control Conference, 2022

Cooperative Tuning of Multi-Agent Optimal Control Systems.

Zehui Lu, Wanxin Jin, Shaoshuai Mou, Brian D. O. Anderson

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

An Iterative Method for Inverse Optimal Control.

Zihao Liang, Wanxin Jin, Shaoshuai Mou

Proceedings of the 13th Asian Control Conference, 2022

2021

Inverse optimal control from incomplete trajectory observations.

Wanxin Jin, Dana Kulic, Shaoshuai Mou, Sandra Hirche

Int. J. Robotics Res., 2021

Distributed inverse optimal control.

Wanxin Jin, Shaoshuai Mou

Autom., 2021

Safe Pontryagin Differentiable Programming.

Wanxin Jin, Shaoshuai Mou, George J. Pappas

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learning from Incremental Directional Corrections.

Wanxin Jin, Todd D. Murphey, Shaoshuai Mou

CoRR, 2020

Inverse Optimal Control from Demonstration Segments.

Wanxin Jin, Zihao Liang, Shaoshuai Mou

CoRR, 2020

Neural Certificates for Safe Control Policies.

Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou

CoRR, 2020

Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework.

Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Inverse Optimal Control for Multiphase Cost Functions.

Wanxin Jin, Dana Kulic, Jonathan Feng-Shun Lin, Shaoshuai Mou, Sandra Hirche

IEEE Trans. Robotics, 2019

2018

Inverse Optimal Control with Incomplete Observations.

Wanxin Jin, Dana Kulic, Shaoshuai Mou, Sandra Hirche

CoRR, 2018

2017

Reference-Free Path-Walking Method for Ball Grid Array Inspection in Surface Mounting Machines.

Wanxin Jin, Weiyang Lin, Xianqiang Yang, Huijun Gao

IEEE Trans. Ind. Electron., 2017

A Line-Based-Clustering Approach for Ball Grid Array Component Inspection in Surface-Mount Technology.

Huijun Gao, Wanxin Jin, Xianqiang Yang, Okyay Kaynak

IEEE Trans. Ind. Electron., 2017