Shao-Hung Chan

According to our database, Shao-Hung Chan authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic.

Thomy Phan, Benran Zhang, Shao-Hung Chan, Sven Koenig

CoRR, 2024

Theoretical Study on Multi-objective Heuristic Search.

Shawn Skyler, Shahaf S. Shperberg, Dor Atzmon, Ariel Felner, Oren Salzman, Shao-Hung Chan, Han Zhang, Sven Koenig, William Yeoh, Carlos Hernández Ulloa

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search.

Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Sven Koenig, Tsung-Wei Huang, Thomy Phan

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Multi-robot geometric task-and-motion planning for collaborative manipulation tasks.

Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Peter Kolapo, Sven Koenig, Zach Agioutantis, Steven Schafrik, Stefanos Nikolaidis

Auton. Robots, December, 2023

Must-Expand Nodes in Multi-Objective Search [Extended Abstract].

Shawn Skyler, Shahaf S. Shperberg, Dor Atzmon, Ariel Felner, Oren Salzman, Shao-Hung Chan, Han Zhang, Sven Koenig, William Yeoh, Carlos Hernández Ulloa

Proceedings of the Sixteenth International Symposium on Combinatorial Search, 2023

Greedy Priority-Based Search for Suboptimal Multi-Agent Path Finding.

Shao-Hung Chan, Roni Stern, Ariel Felner, Sven Koenig

Proceedings of the Sixteenth International Symposium on Combinatorial Search, 2023

Heuristic-Search Approaches for the Multi-Objective Shortest-Path Problem: Progress and Research Opportunities.

Oren Salzman, Ariel Felner, Carlos Hernández, Han Zhang, Shao-Hung Chan, Sven Koenig

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

On Merging Agents in Multi-Agent Pathfinding Algorithms.

Eli Boyarski, Shao-Hung Chan, Dor Atzmon, Ariel Felner, Sven Koenig

Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022

A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning.

Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Sven Koenig, Stefanos Nikolaidis

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding.

Shao-Hung Chan, Jiaoyang Li, Graeme Gange, Daniel Harabor, Peter J. Stuckey, Sven Koenig

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Hierarchical Approach to Multi-Agent Path Finding.

Han Zhang, Mingze Yao, Ziang Liu, Jiaoyang Li, Lucas Terr, Shao-Hung Chan, T. K. Satish Kumar, Sven Koenig

Proceedings of the Fourteenth International Symposium on Combinatorial Search, 2021

ECBS with Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding.

Shao-Hung Chan, Jiaoyang Li, Graeme Gange, Daniel Harabor, Peter J. Stuckey, Sven Koenig

Proceedings of the Fourteenth International Symposium on Combinatorial Search, 2021

Scalable Rail Planning and Replanning: Winning the 2020 Flatland Challenge.

Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig

Proceedings of the Fourteenth International Symposium on Combinatorial Search, 2021

2020

Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World.

Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2019

Real-time Obstacle Avoidance using Supervised Recurrent Neural Network with Automatic Data Collection and Labeling.

Shao-Hung Chan, Xiaoyue Xu, Ping-Tsang Wu, Ming-Li Chiang, Li-Chen Fu

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Multi-Layer Environmental Affordance Map for Robust Indoor Localization, Event Detection and Social Friendly Navigation.

Ping-Tsang Wu, Chee-An Yu, Shao-Hung Chan, Ming-Li Chiang, Li-Chen Fu

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Robust 2D Indoor Localization Through Laser SLAM and Visual SLAM Fusion.

Shao-Hung Chan, Ping-Tsang Wu, Li-Chen Fu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Distributed Deep Reinforcement Learning based Indoor Visual Navigation.

Shih-Hsi Hsu, Shao-Hung Chan, Ping-Tsang Wu, Kun Xiao, Li-Chen Fu

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018