Shao-Hung Chan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Manipulation Tasks

Top Venues

Publications

Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Tsung-Wei Huang, Sven Koenig, Thomy Phan
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search. CoRR (2024)
Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Sven Koenig, Tsung-Wei Huang, Thomy Phan
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search. AAMAS (2024)
Shawn Skyler, Shahaf S. Shperberg, Dor Atzmon, Ariel Felner, Oren Salzman, Shao-Hung Chan, Han Zhang, Sven Koenig, William Yeoh, Carlos Hernández Ulloa
Must-Expand Nodes in Multi-Objective Search [Extended Abstract]. SOCS (2023)
Shao-Hung Chan, Roni Stern, Ariel Felner, Sven Koenig
Greedy Priority-Based Search for Suboptimal Multi-Agent Path Finding. SOCS (2023)
Oren Salzman, Ariel Felner, Carlos Hernández, Han Zhang, Shao-Hung Chan, Sven Koenig
Heuristic-Search Approaches for the Multi-Objective Shortest-Path Problem: Progress and Research Opportunities. IJCAI (2023)
Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Peter Kolapo, Sven Koenig, Zach Agioutantis, Steven Schafrik, Stefanos Nikolaidis
Multi-Robot Geometric Task-and-Motion Planning for Collaborative Manipulation Tasks. CoRR (2023)
Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Peter Kolapo, Sven Koenig, Zach Agioutantis, Steven Schafrik, Stefanos Nikolaidis
Multi-robot geometric task-and-motion planning for collaborative manipulation tasks. Auton. Robots 47 (8) (2023)
Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Sven Koenig, Stefanos Nikolaidis
A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning. CoRR (2022)
Eli Boyarski, Shao-Hung Chan, Dor Atzmon, Ariel Felner, Sven Koenig
On Merging Agents in Multi-Agent Pathfinding Algorithms. SOCS (2022)
Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Sven Koenig, Stefanos Nikolaidis
A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning. CASE (2022)
Shao-Hung Chan, Jiaoyang Li, Graeme Gange, Daniel Harabor, Peter J. Stuckey, Sven Koenig
Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding. AAAI (2022)
Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig
Scalable Rail Planning and Replanning: Winning the 2020 Flatland Challenge. SOCS (2021)
Han Zhang, Mingze Yao, Ziang Liu, Jiaoyang Li, Lucas Terr, Shao-Hung Chan, T. K. Satish Kumar, Sven Koenig
A Hierarchical Approach to Multi-Agent Path Finding. SOCS (2021)
Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig
Scalable Rail Planning and Replanning: Winning the 2020 Flatland Challenge. ICAPS (2021)
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
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. CoRR (2021)
Shao-Hung Chan, Jiaoyang Li, Graeme Gange, Daniel Harabor, Peter J. Stuckey, Sven Koenig
ECBS with Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding. SOCS (2021)
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
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. NeurIPS (Competition and Demos) (2020)
Shao-Hung Chan, Xiaoyue Xu, Ping-Tsang Wu, Ming-Li Chiang, Li-Chen Fu
Real-time Obstacle Avoidance using Supervised Recurrent Neural Network with Automatic Data Collection and Labeling. SMC (2019)
Ping-Tsang Wu, Chee-An Yu, Shao-Hung Chan, Ming-Li Chiang, Li-Chen Fu
Multi-Layer Environmental Affordance Map for Robust Indoor Localization, Event Detection and Social Friendly Navigation. IROS (2019)
Shih-Hsi Hsu, Shao-Hung Chan, Ping-Tsang Wu, Kun Xiao, Li-Chen Fu
Distributed Deep Reinforcement Learning based Indoor Visual Navigation. IROS (2018)
Shao-Hung Chan, Ping-Tsang Wu, Li-Chen Fu
Robust 2D Indoor Localization Through Laser SLAM and Visual SLAM Fusion. SMC (2018)