Jianfeng Liao
Papers
10
Total Citations
225
H-Index
5
About
Jianfeng Liao is a robotics researcher whose work spans mobile robot control, robotic manipulation, and intelligent perception. His most recognized contributions lie in the dynamics and control of four-wheel independently driven skid-steer mobile robots, where he pioneered model-based coordinated control frameworks that integrate wheel-ground interaction and wheel dynamics — a significant departure from traditional kinematic-only approaches. His 2018 paper on this topic has garnered over 100 citations, while his complementary work on performance-oriented adaptive robust control and torque allocation has further solidified his reputation in mobile robot control theory. Beyond ground vehicle dynamics, Liao has made notable strides in robotic manipulation, including optimization-based motion planning for highly redundant mobile manipulators and trajectory optimization accounting for grasp selection. His more recent research reflects a pivot toward intelligent robot perception and human-robot interaction, encompassing category-level 6D object pose estimation, gaze-directed visual grounding, and the integration of large language models into robotic grasping decision-making. His 2022 work on wall-climbing robots for pipeline inspection further demonstrates a commitment to real-world industrial applications. With a growing body of work accumulating over 220 citations, Liao represents a productive bridge between classical control engineering and modern AI-driven robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7Decision-Making in Robotic Grasping with Large Language Models4 citations · 2023
- 8
- 9
- 10Constrained Path Planning on Pipeline Surface for Wall Climbing Robots3 citations · 2022