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researcher

Rui Chen

24 papers hereh-index 8251 citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author15

Across the 22 of 24 papers where every author was matched, so the position is known.

fields
  • cs.RO16
  • cs.LG5
  • eess.SY3
same name
  • Rui Chen — 52 papers, h 28
  • Rui Chen — 31 papers, h 36
  • Rui Chen — 16 papers, h 2
  • Rui Chen — 14 papers, h 6
  • Rui Chen — 13 papers, h 5
  • Rui Chen — 12 papers, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedState-wise Constrained Policy Optimization

3 citations · 10 across the 24 of their papers we have counts for

collaborators
Showing 2023 · cs.ROShow all

4 papers · 2 filters

cs.RO2023

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization

Yifan Sun, Feihan Li, Weiye Zhao +3

Deep reinforcement learning (RL) excels in various control tasks, yet the absence of safety guarantees hampers its real-world applicability. In particular, explorations during lear…

cs.RO2023★ 1 cited

Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control

Ruixuan Liu, Rui Chen, Abulikemu Abuduweili +1

Human-robot collaboration (HRC) is one key component to achieving flexible manufacturing to meet the different needs of customers. However, it is difficult to build intelligent rob…

cs.RO2023

Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands

Rui Chen, Alvin Shek, Changliu Liu

This paper studies real-time collaborative robot (cobot) handling, where the cobot maneuvers an object under human dynamic gesture commands. Enabling dynamic gesture commands is us…

cs.RO2023

Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning

Anirudh Chari, Rui Chen, Changliu Liu

Multi-agent motion planning (MAMP) is a critical challenge in applications such as connected autonomous vehicles and multi-robot systems. In this paper, we propose a space-time con…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.