Papers
6
Total Citations
90
H-Index
4
About
Melya Boukheddimi is a robotics researcher whose work focuses on the design, control, and dynamic movement of humanoid robots and lower extremity exoskeletons. Her major contributions span several interconnected areas: she has advanced the understanding of bipedal walking through comprehensive surveys on exoskeleton design and control, developed novel series-parallel hybrid architectures for humanoid upper bodies with the RH5 Manus system, and explored the intersection of robotics with human-like motion and even artistic expression. Her most cited work, "A Survey on Design and Control of Lower Extremity Exoskeletons for Bipedal Walking" (50 citations), provides a foundational overview of actuation methods and biomechanical support. She has also made notable contributions to underactuated robotics education through the "Torque-limited simple pendulum" toolkit, and pushed creative boundaries with robot dance generation using trajectory optimization. Her research on human-like gait generation from reduced task sets demonstrates a talent for distilling complex human motion into efficient robotic control frameworks. With publications spanning 2019-2023 and growing citation impact, Boukheddimi is establishing herself as a versatile researcher bridging hardware design, control theory, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 4Robot Dance Generation with Music Based Trajectory Optimization7 citations · 2022
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