M.M. Bayoumi

About

M.M. Bayoumi is a pioneering robotics researcher whose work has fundamentally advanced robot navigation, motion planning, and multi-sensor integration. His most influential contribution is the development of novel potential field approaches for robot navigation, including the biharmonic potential approach (59 citations) and the vector potential approach (29 citations), which offer significant advantages over traditional scalar potential fields by generating smoother, safer paths free of sharp turns. Bayoumi's research addresses critical challenges in robotic manipulation, including configuration space obstacle computation, collision-free path planning for dual-arm robots, and constraining robot motion in complex environments. He has also made important contributions to heterogeneous multi-sensor fusion, developing frameworks for spatial and temporal alignment of sensor data in robotic systems. His work on adaptive control for multi-arm robotic systems and the RCTS distributed processing environment for sensor integration demonstrates his commitment to practical, implementable solutions. With over 130 total citations across his publications, Bayoumi's research has provided foundational tools for roboticists working on autonomous navigation, manipulation, and sensor integration, making his work essential reading for anyone developing intelligent robotic systems capable of operating safely in complex, obstacle-filled environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Robot navigation using a pressure generated mechanical stress field: "the biharmonic potential approach"

   59 citations · 2002
2. 2
   Robot navigation using the vector potential approach

   29 citations · 2002
3. 3
   Analytical solution for configuration space obstacle computation and representation

   13 citations · 2002
4. 4
   Constraining the Motion of a Robot Manipulator Using the Vector Potential Approach

   9 citations · 2005
5. 5
   Robotic heterogeneous multi-sensor fusion with spatial and temporal alignment

   7 citations · 2002
6. 6
   Collision-free path planning for a robot with two arms cooperating in the 3-D work space

   6 citations · 2002
7. 7
   Adaptive control of the multi-arm robotic system

   4 citations · 2003
8. 8
   A feature-level approach to multi-sensor integration; emphasizing robotic applications

   3 citations · 2002
9. 9
   RCTS: A flexible environment for sensor integration and control of robot systems; the distributed processing approach

   3 citations · 1989
10. 10
    Kinematic motion constraints in the robot's joint space

    2 citations · 2002

Key Collaborators

Contact & Links