Papers
40
Total Citations
480
H-Index
12
About
Shirong Liu is a robotics and autonomous systems researcher whose work spans multi-robot coordination, motion planning, and intelligent control — areas where his contributions have shaped practical approaches to some of the field's most challenging problems. His early and widely influential research introduced improved ant colony algorithms for mobile robot path planning and multi-robot navigation, earning over 60 citations and establishing him as a key voice in biologically inspired optimization methods. Liu's investigations into odor source localization are particularly noteworthy: his finite-time motion control strategies, including parallel and circular motion algorithms for robot swarms, have attracted nearly 60 citations and represent elegant solutions to complex sensory-driven navigation problems. Across his career, Liu has advanced trajectory tracking through backstepping controllers and sliding mode strategies, and expanded motion planning capabilities with hybrid approaches such as RRT-A* for non-holonomic robots and orientation-constrained dual-arm planning. His 2011 survey of trajectory tracking control for robot manipulators further demonstrates his breadth, synthesizing adaptive PID, neural network, and fuzzy control paradigms into a cohesive reference for the field. With over 300 cumulative citations, Liu's body of work represents a sustained and meaningful contribution to intelligent robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Finite-Time Motion Control Strategy for Odor Source Localization57 citations · 2014
- 3Decision Making and Finite-Time Motion Control for a Group of Robots48 citations · 2012
- 4RRT-A* Motion planning algorithm for non-holonomic mobile robot29 citations · 2014
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- 8An Improved Ant Colony Algorithm for Mobile Robot Path Planning20 citations · 2006
- 9
- 10A Survey of Trajectory Tracking Control for Robot Manipulators13 citations · 2011