Papers
17
Total Citations
494
H-Index
8
About
M. Haddad is a robotics researcher whose work centers on trajectory planning, motion optimization, and autonomous navigation for both industrial manipulators and mobile robotic systems. With a career spanning over two decades, Haddad has made significant contributions to solving some of the most computationally demanding problems in robotics, particularly the generation of minimum-time and minimum-cost trajectories under complex dynamic and kinematic constraints. His most influential work, "Minimum Cost Trajectory Planning for Industrial Robots" (2004), has garnered 231 citations and established foundational methods for optimizing robot motion in industrial settings. Haddad further extended this expertise to nonholonomic systems, developing stochastic and random-profile approaches for wheeled mobile robots — work that has collectively attracted over 100 additional citations. His research on unicycle robots with trapezoidal-velocity constraints and robots towing trailers demonstrates a sustained commitment to real-world applicability under physical limitations. Beyond single-robot systems, Haddad has addressed hybrid navigation in partially known environments and mobile manipulator coordination, reflecting a broad systems-level perspective. His body of work, totaling over 450 citations across diverse platforms, makes him a valuable reference for students and researchers tackling robot motion planning, dynamic optimization, and autonomous mobility challenges.
Research Focus
Key Achievements
Top Papers
- 1Minimum cost trajectory planning for industrial robots231 citations · 2004
- 2
- 3A random-profile approach for trajectory planning of wheeled mobile robots51 citations · 2006
- 4
- 5
- 6Generating optimal dynamic motions for closed-chain robotic systems11 citations · 2005
- 7
- 8
- 9
- 10