activity
20202026
most citedCL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints

101 citations · 106 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.RO2025

Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions

Zherui Huang, Xing Gao, Guanjie Zheng +3

Traffic simulation, complementing real-world data with a long-tail distribution, allows for effective evaluation and enhancement of the ability of autonomous vehicles to handle acc…

cs.RO2024

Hierarchical Search-Based Cooperative Motion Planning

Yuchen Wu, Yifan Yang, Gang Xu +4

Cooperative path planning, a crucial aspect of multi-agent systems research, serves a variety of sectors, including military, agriculture, and industry. Many existing algorithms, h…

cs.RO2020

Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together

Shanqi Liu, Licheng Wen, Jinhao Cui +3

Multi-agent path finding in formation has many potential real-world applications like mobile warehouse robots. However, previous multi-agent path finding (MAPF) methods hardly take…

cs.RO2020★ 101 cited

CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints

Licheng Wen, Zhen Zhang, Zhe Chen +2

Multi-Agent Path Finding has been widely studied in the past few years due to its broad application in the field of robotics and AI. However, previous solvers rely on several simpl…

cs.RO2020★ 5 cited

Collision-free Trajectory Planning for Autonomous Surface Vehicle

Licheng Wen, Jiaqing Yan, Xuemeng Yang +2

In this paper, we propose an efficient and accurate method for autonomous surface vehicles to generate a smooth and collision-free trajectory considering its dynamics constraints.…