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News
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September 06, 2024
CoRL 2024 - Paper Accepted
Our paper focusing on distributed MARL for visibility-based pursuit-evasion (also known as evasive search) has been accepted for presentation at the Conference on Robot Learning (CoRL 2024), which will take place 6-9 November 2024 in Munich, Germany.
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August 01, 2024
DARS 2024 - Paper Accepted
Our paper focusing on communication-constrained, map-sharing-free multi-robot exploration of unknown areas, which develops an interesting communication learning method for this problem, has been accepted for oral presentation at the International Symposium on Distributed Autonomous Robotics Systems (DARS 2024), which will take place 28-30 October 2024 in New York City, NY, USA.
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July 30, 2024
IROS 2024 - 5/5 Papers Accepted (Preprints Available Soon)
All our five papers submitted to IROS 2024 were accepted for oral presentation! The preprints of some of these papers is already available now, and all will be made available below as well as on the Publications tab shortly. See you all in Abu Dhabi!
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June 12, 2024
One fully-funded PhD position Open for January 2025 Intake (Filled)
I currently have one fully-funded, 4-year PhD position open, specifically for January 2025 intake. Applications are due July 1st, 2024, for overseas applicants, while applicants currently residing in Singapore can apply until September 1st, 2024. If you are interested, please apply and indicate “NUS Research Scholarship” as your preferred source of funding. All details, including the link to the application portal, can be found here.
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April 27, 2024
IROS 2024 - Papers Submitted (Preprints Available)
The preprints of some of the papers we submitted to IROS 2024 are available below as well as in the Publications tab.
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March 01, 2024
Robotics and Automation Letters - Paper Accepted
Our paper focusing on large-scale autonomous robotic exploration of unknown spaces has been accepted for publication in IEEE Robotics and Automation Letters (RA-L). Congratulations Dr. Cao!
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Current Research Projects
See some of my past projects on my (old) personal webpage.
Embodied Vision-Language Foundation Models for Visual Active Search
Fine-tuning vision-language models with reinforcement learning to enable efficient visual active search in the real world.
Decentralized Collision-Free Multi-Agent Path Finding (MAPF)
Distributed reinforcement learning for scalable, decentralized multi-agent path finding in highly-structured environments (e.g., Amazon fulfillment centers)
Communication Learning for True Cooperation in Multi-Agent Systems
Communication learning for simultaneous communication and action policy learning.
Multi-Robot Coordination via Learning-Based Combinatorial Optimization
Reinforcement learning method to solve multi-robot combinatorial optimization problem with specific objective and constraints
Autonomous Robotic Exploration and Search in Complex Environments
Deployment of robots to conduct efficient exploration and search in complex environments
Multi-Agent Search/Surveillance of Adversarial/Evasive Agents
Multi-robot search and monitor an area to locate potentially evasive targets, by learning strategies in a mixed cooperative-competitive environment.
Communication-Aware Multi-Agent Exploration
Decentralised multi-robot exploration in communication-constraint environments, ensuring appropriate connectivity and adaptability in real-world conditions.
Distributed learning based Intelligent Transportation System
Distributed RL for junction-level traffic light phase control, as well as for decentralized CAVs control via communication learning.
Environmental Interactions by Autonomous Legged Robots
The project’s aim is to exploit this manipulative prowess in order to boost the performance of legged robots in both industrial and real-world situations.
People
Faculty
Guillaume SARTORETTI
Postdoctoral Fellows
Ge SUN
Staff
Jingsong LIANG
Tanishq DUHAN
PhD Students
Weiheng DAI
Yutong WANG
Yifeng ZHANG
Pamela WANG
Chengyang HE
Junkai LU
Jimmy CHIUN
Joshua Taylor
Master's Students
Maxime DE MONTLEBERT
Peizhuo LI
Dixiao NIU
Sichang SU
Yurou LI