Longsheng Jiang
Papers
8
Total Citations
129
H-Index
6
About
Longsheng Jiang is a leading researcher in human-robot collaboration (HRC), with a focus on trust, autonomy, and human-like decision-making in multi-robot systems. His work bridges cognitive science and robotics, particularly through the innovative use of regret theory—a psychological model of decision-making under risk. Jiang’s most-cited paper (30 citations) introduces a regret-based autonomy allocation scheme for shared vision systems in manufacturing assembly, addressing the challenge of unreliable robot sensing. He further developed a Bayesian Trust Inference Model (29 citations) for human-multi-robot teams and a personalized computational model (21 citations) that enables robots to mimic human decision-making under risk, incorporating regret, probability weighting, and range effects. His 2023 survey on trust models (18 citations) is a key reference for researchers in human-autonomy teaming. Jiang’s work on risk-aware decision-making in collaborative search (11 citations) and quantitative measures of regret (10 citations) has advanced the field by integrating emotional aspects into robot behavior, as highlighted in his 2019 study on “Respect Your Emotion.” With over 130 total citations, Jiang’s research is shaping the next generation of intelligent, human-aware robotic teammates.
Research Focus
Key Achievements
Top Papers
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- 2A Bayesian Trust Inference Model for Human-Multi-Robot Teams29 citations · 2020
- 3A Personalized Computational Model for Human-Like Automated Decision-Making21 citations · 2021
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