Papers
4
Total Citations
20
H-Index
3
About
Khalid Addi is a researcher at the intersection of robotics, biomechanics, and artificial intelligence, whose work focuses on the mathematical modeling and control of biped locomotion and human-robot interaction. His primary research areas include nonsmooth contact dynamics, impact modeling in bipedal systems, and bio-inspired control strategies for humanoid robots. Addi’s major contributions lie in developing generalized approaches to simulate the complex, discontinuous contact and impact events that occur during walking—a critical challenge for stable and natural robot locomotion. His 2007 paper on nonsmooth multipoint contact dynamics (9 citations) proposes a novel framework that treats impact and contact as integral to the gait cycle, moving beyond traditional inductive models. In related work (2010, 5 citations), he compares classical and modern methodologies for implementing these impact dynamics, providing a practical roadmap for roboticists. Addi also explores the intersection of robotics and affective computing, as seen in his 2014 paper on modeling human emotional behavior to design robot emotional intelligence controllers. His bio-inspired approach to modulating leg impedance (2012, 2 citations) demonstrates how human motion capture data can directly inform adaptive control for robots walking on compliant surfaces. Through these contributions, Addi advances the development of more stable, responsive, and human-like bipedal robots.
Research Focus
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Top Papers
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