Ruiliang Deng
Papers
1
Total Citations
8
H-Index
1
About
Ruiliang Deng is a researcher in multi-robot systems and distributed optimization, with a focus on task allocation and cooperative control. His most-cited work, "A Distributed Auction Algorithm for Task Assignment With Robot Coalitions" (2024, 8 citations), tackles a critical challenge in practical multi-robot scenarios—such as multiplayer reach-avoid games—where tasks require coordinated execution by coalitions of robots rather than individuals. This contribution extends classical assignment theory by introducing a distributed, auction-based framework that enables scalable and efficient task allocation among robot teams, addressing real-world constraints like communication and resource limitations. Deng’s work is notable for bridging theoretical algorithms with applied robotics, offering solutions that improve coordination in dynamic and adversarial environments. With growing recognition for his innovative approach to coalition-based task assignment, his research holds promise for advancing autonomous systems in defense, search-and-rescue, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1