Rui Chen

Orcid: 0000-0002-8671-8771

Affiliations:
  • Carnegie Mellon University, Robotics Institute, Department of Mechanical Engineering, Pittsburgh, PA, USA
  • University of Michigan, MI, USA (former)


According to our database1, Rui Chen authored at least 26 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
GUARD: A Safe Reinforcement Learning Benchmark.
Trans. Mach. Learn. Res., 2024

State-wise Constrained Policy Optimization.
Trans. Mach. Learn. Res., 2024

Constrained Bandwidth Observation Sharing for Multi-Robot Navigation in Dynamic Environments via Intelligent Knapsack.
CoRR, 2024

Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills.
CoRR, 2024

Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Real-Time Safety Index Adaptation for Parameter-Varying Systems via Determinant Gradient Ascend.
Proceedings of the American Control Conference, 2024

Safety Index Synthesis with State-Dependent Control Space.
Proceedings of the American Control Conference, 2024

An Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic.
Proceedings of the American Control Conference, 2024

2023
Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands.
IEEE Robotics Autom. Lett., June, 2023

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization.
CoRR, 2023

State-wise Constrained Policy Optimization.
CoRR, 2023

GUARD: A Safe Reinforcement Learning Benchmark.
CoRR, 2023

Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Interactive Car-Following: Matters but NOT Always.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

State-wise Safe Reinforcement Learning: A Survey.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022
Task-Agnostic Adaptation for Safe Human-Robot Handover.
CoRR, 2022

Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm.
CoRR, 2022

Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method.
CoRR, 2022

A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Jerk-bounded Position Controller with Real-Time Task Modification for Interactive Industrial Robots.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

2021
How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach.
IEEE Trans. Intell. Transp. Syst., 2021

Learn from Human Teams: a Probabilistic Solution to Real-Time Collaborative Robot Handling with Dynamic Gesture Commands.
CoRR, 2021

2019
Active Learning for Risk-Sensitive Inverse Reinforcement Learning.
CoRR, 2019

2018
An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles.
CoRR, 2018


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