Papers
4
Total Citations
87
H-Index
4
About
Abdellah Khelloufi is a robotics researcher whose work focuses on autonomous navigation, obstacle avoidance, and collaborative robotics for industrial applications. His most cited paper, "A collaborative robot for the factory of the future: BAZAR" (2019, 51 citations), introduces a mobile manipulator designed for flexible manufacturing environments, highlighting his contributions to human-robot collaboration and Industry 4.0. Khelloufi has also made significant advances in motion control and sensor-based navigation for omnidirectional wheeled robots. His work on "Complementary-route based ICR control for steerable wheeled mobile robots" (2019, 15 citations) addresses precise trajectory tracking, while his "Tentacle-based moving obstacle avoidance for omnidirectional robots with visibility constraints" (2017, 13 citations) presents a novel scheme that enables robots to navigate toward visual targets while avoiding both static and moving obstacles. Further extending this line of research, his 2019 paper on "Sensor-based Navigation of Omnidirectional Wheeled Robots Dealing with both Collisions and Occlusions" (8 citations) proposes a unified framework that simultaneously manages collision and occlusion risks. With over 87 total citations across his key works, Khelloufi’s research is shaping the development of safer, more autonomous mobile robots for dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1A collaborative robot for the factory of the future: BAZAR51 citations · 2019
- 2Complementary-route based ICR control for steerable wheeled mobile robots15 citations · 2019
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