Papers
47
Total Citations
499
H-Index
13
About
Mustapha Hamerlain is a prominent robotics researcher whose work spans autonomous navigation, advanced control systems, and robotic actuation. His research has made significant contributions to two interconnected domains: simultaneous localization and mapping (SLAM) for unmanned ground vehicles, and robust control strategies for robotic manipulators driven by pneumatic artificial muscles. In the realm of autonomous navigation, Hamerlain has pioneered approaches combining optimal control theory with SLAM, cooperative multi-robot localization using SVSF filters, and adaptive algorithms for dynamic environments — work that has collectively garnered over 130 citations. His 2018 paper on path planning for unmanned vehicles alone attracted 61 citations, underscoring the field's recognition of its practical significance. Equally notable is his foundational work on biologically inspired robotic systems. His 2002 study on anthropomorphic robot arms driven by pneumatic artificial muscles, cited 47 times, introduced variable structure control to address the inherent nonlinearities of muscle-actuated systems — a contribution that influenced subsequent developments in medical exoskeletons and flexible manipulators. His later investigations into sliding mode and high-order sliding mode control further addressed critical challenges like chatter reduction. With research bridging rehabilitation robotics, swarm navigation, and nonlinear control theory, Hamerlain's body of work represents a rigorous and enduring contribution to intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3Cooperative SLAM for multiple UGVs navigation using SVSF filter25 citations · 2017
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- 6Sliding mode control of a 5 dofs upper limb exoskeleton robot20 citations · 2017
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- 8Robust SVSF-SLAM Algorithm for Unmanned Vehicle in Dynamic Environment17 citations · 2018
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