Peihuang Lou

About

Peihuang Lou is a leading researcher in the field of mobile robotics, with a primary focus on trajectory tracking, path planning, and autonomous navigation for heavy-duty robotic vehicles. His most influential work, "Backstepping Trajectory Tracking Based on Fuzzy Sliding Mode Control for Differential Mobile Robots," has garnered 129 citations, demonstrating its significant impact on advancing robust control strategies for differential-drive systems. Lou's research integrates vision-guided control and mechatronic design, as evidenced by his work on coordinated path tracking for two vision-guided tractors (29 citations) and the development of an automated guided mechatronic tractor for heavy-duty applications (16 citations). He has also contributed to autonomous detection of sheet metal parts using image processing (8 citations) and steering-angle computation for multibody modeling of differential-driving robots with casters (3 citations). Lou's key contributions lie in bridging kinematic and dynamic control architectures, enabling more precise and reliable navigation for industrial and agricultural robotic systems. His work is essential for researchers and engineers developing autonomous vehicles and advanced manufacturing systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Backstepping Trajectory Tracking Based on Fuzzy Sliding Mode Control for Differential Mobile Robots

   129 citations · 2019
2. 2
   Coordinated path tracking of two vision-guided tractors for heavy-duty robotic vehicles

   29 citations · 2018
3. 3
   An automated guided mechatronic tractor for path tracking of heavy-duty robotic vehicles

   16 citations · 2015
4. 4
   The autonomous detection of sheet metal parts using imageprocessing

   8 citations · 2015
5. 5
   Steering-angle computation for the multibody modelling of differential-driving mobile robots with a caster

   3 citations · 2018

Key Collaborators

Contact & Links