activity
20202026
most citedAutonomous and Adaptive Role Selection for Multi-robot Collaborative Area Search Based on Deep Reinforcement Learning

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2026

Skill-Aware Diffusion for Generalizable Robotic Manipulation

Aoshen Huang, Jiaming Chen, Jiyu Cheng +3

Robust generalization in robotic manipulation is crucial for robots to adapt flexibly to diverse environments. Existing methods usually improve generalization by scaling data and n…

cs.RO2026

Dual-Attention Heterogeneous GNN for Multi-robot Collaborative Area Search via Deep Reinforcement Learning

Lina Zhu, Jiyu Cheng, Yuehu Liu +1

In multi-robot collaborative area search, a key challenge is to dynamically balance the two objectives of exploring unknown areas and covering specific targets to be rescued. Exist…

cs.MA2024

Asymmetric Information Enhanced Mapping Framework for Multirobot Exploration based on Deep Reinforcement Learning

Jiyu Cheng, Junhui Fan, Xiaolei Li +3

Despite the great development of multirobot technologies, efficiently and collaboratively exploring an unknown environment is still a big challenge. In this paper, we propose AIM-M…

cs.RO2023★ 1 cited

Autonomous and Adaptive Role Selection for Multi-robot Collaborative Area Search Based on Deep Reinforcement Learning

Lina Zhu, Jiyu Cheng, Hao Zhang +3

In the tasks of multi-robot collaborative area search, we propose the unified approach for simultaneous mapping for sensing more targets (exploration) while searching and locating…

cs.RO2023

Nowhere to Go: Benchmarking Multi-robot Collaboration in Target Trapping Environment

Hao Zhang, Jiaming Chen, Jiyu Cheng +3

Collaboration is one of the most important factors in multi-robot systems. Considering certain real-world applications and to further promote its development, we propose a new benc…

cs.MA2021

A General Auxiliary Controller for Multi-agent Flocking

Jinfan Zhou, Jiyu Cheng, Lin Zhang +1

We aim to improve the performance of multi-agent flocking behavior by quantifying the structural significance of each agent. We designed a confidence score(ConfScore) to measure th…

cs.RO2020

Mobile Robot Path Planning in Dynamic Environments: A Survey

Kuanqi Cai, Chaoqun Wang, Jiyu Cheng +2

There are many challenges for robot navigation in densely populated dynamic environments. This paper presents a survey of the path planning methods for robot navigation in dense en…