Abdelkrim Bahloul
Papers
2
Total Citations
34
H-Index
2
About
Abdelkrim Bahloul is a researcher specializing in robotics, with a particular focus on the dynamic modeling and identification of industrial manipulators. His work is central to advancing Physical Human-Robot Interactions (PHRIs), where precise robot control and safety are paramount. Bahloul’s major contributions lie in developing rigorous methodologies for identifying the dynamic parameters of six-degree-of-freedom industrial robots, such as the Denso VP-6242G. His 2018 paper, which has garnered 32 citations, presents a comprehensive model for this robot both without and with a payload, incorporating a force sensor for enhanced interaction control. This foundational work enables more accurate and safer co-manipulation between humans and robots. In a subsequent study, Bahloul refined this approach using a constrained nonlinear weighted least squares (WLS) method, further improving model fidelity for PHRI applications. By providing these high-fidelity dynamic models, Bahloul’s research directly supports the development of intuitive and responsive robotic systems, making him a key contributor to the field of collaborative robotics.
Research Focus
Key Achievements
Top Papers
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