Lishuai Yu
Papers
2
Total Citations
88
H-Index
2
About
Lishuai Yu is a researcher specializing in robotics and autonomous systems, with a primary focus on multi-robot coordination and adaptive manipulation. His work addresses critical challenges in unknown and unstructured environments, particularly in cooperative control and target search. Yu’s most cited paper, “Adaptive hybrid impedance control for dual-arm cooperative manipulation with object uncertainties” (2022), has garnered 77 citations, showcasing his significant contribution to improving robotic dexterity and safety when handling objects with unknown properties. This work advances impedance control strategies for dual-arm systems, enabling more robust and compliant manipulation. In his 2023 paper on “Multirobot Target Searches in Unknown Environments Via Waypoint Planning System” (11 citations), Yu tackles the practical challenge of efficiently locating targets in hazardous or inaccessible areas, such as disaster zones or environmental monitoring sites. By developing a waypoint planning system, his research enhances the effectiveness of multi-robot teams in information-deficient settings. Yu’s work is notable for its direct applicability to real-world scenarios, including search-and-rescue and environmental surveillance, and his growing citation record reflects the impact of his contributions on the field of cooperative robotics.
Research Focus
Key Achievements
Top Papers
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