Papers
4
Total Citations
41
H-Index
2
About
Linxiang Li is a robotics researcher whose work spans mobile manipulation, autonomous systems, and human-robot interaction in complex real-world environments. Li's research centers on developing intelligent mobile robots capable of sophisticated dual-arm manipulation, with applications ranging from industrial tasks such as spraying, cleaning, and assembly to high-stakes scenarios like explosive ordnance disposal. Li's most influential contribution, "Motion Planning and Cooperative Manipulation for Mobile Robots With Dual Arms" (2022, 35 citations), introduced a hybrid control approach that leverages the expansive workspace and dexterous capabilities of dual-armed mobile platforms, establishing a meaningful framework for next-generation robotic systems. Building on this foundation, Li co-developed an autonomous dual-arm bomb disposal robot, addressing critical challenges in urban anti-terrorism and military applications where human safety is paramount. More recently, Li has extended this research portfolio into construction automation, investigating shotcrete robots for deep tunnel environments, and into crowd-aware robot navigation using reinforcement learning enhanced by multi-attention mechanisms. Collectively, Li's work demonstrates a consistent commitment to bridging theoretical robotics with demanding practical applications, contributing meaningfully to the field of autonomous mobile manipulation and intelligent robotic systems.
Research Focus
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