Chengsi Shang
Papers
4
Total Citations
56
H-Index
3
About
Chengsi Shang is a leading researcher in multi-robot systems, specializing in shared control, human-robot interaction, and formation control. His most influential work, “An optimization-based shared control framework with applications in multi-robot systems” (2017, 43 citations), introduces a novel approach that balances human teleoperation with autonomous robot decision-making, enabling more efficient and safer coordination of robot teams. Shang’s research addresses critical challenges in real-world deployment, such as maneuvering through dense, undetectable obstacles, as demonstrated in his 2021 paper on distributed hierarchical shared control. He also pioneered solutions for the simultaneous intervention problem, where a single operator must manage multiple robots at once, using model predictive control (2016). Additionally, his work on tunable formation realization for nonholonomic mobile robots (2019) advances adaptive formation control, allowing robot teams to dynamically adjust their shape in response to environmental changes. With a focus on optimizing human-robot collaboration, Shang’s contributions are vital for applications in search-and-rescue, exploration, and industrial automation, making him a key figure in the evolution of intelligent, human-guided multi-robot systems.
Research Focus
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Top Papers
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