Papers
2
Total Citations
166
H-Index
2
About
Karim Achour’s research career is defined by pioneering work in autonomous mobile robotics, with a particular focus on real-time navigation and obstacle avoidance in unknown environments. His most influential contribution is the development of a vision-based obstacle avoidance algorithm that leverages optical flow information from a single onboard camera. Demonstrated on the B21r robot, this 2007 work has garnered 144 citations, establishing a foundational method for enabling robots to navigate safely using only visual input, without relying on prior maps. Building on this, Achour advanced the field with the introduction of the Dynamic Virtual Force Field (DVFF) approach, a sensor-based navigation algorithm that ensures collision-free motion toward a goal in completely unknown spaces. This 2009 paper, cited 22 times, addresses the critical challenge of safe execution when environmental maps are incomplete or unavailable. Collectively, Achour’s work bridges computer vision and control theory, offering practical, computationally efficient solutions for autonomous navigation that continue to influence researchers developing robust, map-free robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Optical Flow Based Robot Obstacle Avoidance144 citations · 2007
- 2