Hamouche Oulhadj

About

Hamouche Oulhadj is a leading researcher in robotics and control systems, with a primary focus on intelligent trajectory planning and adaptive control for robotic manipulators and exoskeletons. His work bridges optimization theory and practical robotics, notably through the use of metaheuristic algorithms like particle swarm optimization and genetic algorithms to solve complex, bilevel optimization problems. His most cited paper (79 citations) introduces a robust PID adaptive controller for exoskeletons, leveraging particle swarm optimization to enhance stability and performance in human-robot interaction. Oulhadj has also made significant contributions to path planning for redundant manipulators, developing methods that maximize manipulability while avoiding obstacles—a key challenge in industrial and assistive robotics. His research on smooth trajectory generation, which ensures both efficiency and motion continuity, has been widely applied in autonomous systems. With over 150 total citations, Oulhadj’s work is recognized for its practical impact on improving robot autonomy and safety, making him a notable figure in the fields of robotic control and optimization.

Research Focus

Key Achievements

Top Papers

1. 1
   On the robust PID adaptive controller for exoskeletons: A particle swarm optimization based approach

   79 citations · 2017
2. 2
   A trajectory planning of redundant manipulators based on bilevel optimization

   50 citations · 2014
3. 3
   Path planning for redundant manipulators using metaheuristic for bilevel optimization and maximum of manipulability

   9 citations · 2013
4. 4
   A genetic algorithm designed for robot trajectory planning

   8 citations · 2014
5. 5
   Smooth Trajectory Planning for Robot Using Particle Swarm Optimization

   5 citations · 2014

Key Collaborators

Contact & Links