Amar Khoukhi

About

Amar Khoukhi is a robotics and intelligent systems researcher whose work sits at the intersection of trajectory planning, motion control, and computational intelligence. His research has made significant contributions to the optimization of complex robotic systems, particularly parallel kinematic machines (PKMs) and redundant manipulators, where he has developed sophisticated multi-objective planning frameworks that balance competing demands such as time, energy, and joint constraints. Khoukhi's most influential work, "Constrained Multi-Objective Trajectory Planning of Parallel Kinematic Machines" (2008, 55 citations), established him as a leading voice in PKM optimization. Complementing this, his neuro-fuzzy and data-driven approaches — including hierarchical intelligent systems and multistage planning architectures — demonstrated how machine learning techniques could dramatically improve real-world robot performance. His projected gradient augmented Lagrangian methods further expanded the mathematical rigor underlying redundancy resolution in robotic arms. Beyond industrial manipulators, Khoukhi extended his expertise to mobile robotics, contributing innovative solutions for non-holonomic systems, autonomous parking maneuvers, and multi-agent navigation frameworks. His work on stabilized feedback control and fuzzy parking strategies reflects a breadth that spans both theoretical foundations and practical applications. Collectively accumulating over 160 citations, his research offers students and engineers alike a rich toolkit for tackling real-world robotics challenges with intelligence and efficiency.

Research Focus

Key Achievements

Top Papers

1. 1
   Constrained multi-objective trajectory planning of parallel kinematic machines

   55 citations · 2008
2. 2
   A hierarchical neuro-fuzzy system to near optimal-time trajectory planning of redundant manipulators

   31 citations · 2008
3. 3
   Data-Driven Multi-Stage Motion Planning of Parallel Kinematic Machines

   21 citations · 2010
4. 4
   A PROJECTED GRADIENT AUGMENTED LAGRANGIAN APPROACH TO MULTI-OBJECTIVE TRAJECTORY PLANNING OF REDUNDANT ROBOTS

   13 citations · 2007
5. 5
   An optimal time-energy control design for a prototype educational robot

   12 citations · 2002
6. 6
   Stabilized Feedback Control of Unicycle Mobile Robots

   9 citations · 2013
7. 7
   Fuzzy Parking Manoeuvres of Wheeled Mobile Robots

   8 citations · 2007
8. 8
   An intelligent multi-agent system for mobile robots navigation and parking

   7 citations · 2010
9. 9
   Data-driven multi-stage multi-objective motion planning of mobile robots, application to near minimum power fuzzy parking

   7 citations · 2015
10. 10
    Mobile Parallel Manipulators, Modelling and Data-Driven Motion Planning

    6 citations · 2013

Key Collaborators

Contact & Links