Steeve Mbakop
Papers
5
Total Citations
87
H-Index
4
About
Steeve Mbakop is a leading researcher in the field of soft robotics, specializing in the modeling, control, and path planning of soft continuum manipulators. His work addresses the fundamental challenge of controlling hyper-elastic, flexible robots that possess infinite degrees of freedom, enabling them to navigate and manipulate objects in unstructured environments. Mbakop’s major contributions include developing inverse dynamics models and parametric PH (Pythagorean Hodograph) curve-based methods for precise shape control of soft continuum fingers and mobile soft manipulators. His 2021 paper on inverse dynamics shape control has garnered 30 citations, while his work on kinematic control using parametric PH curves has 25 citations, reflecting the community’s interest in his innovative approaches. He has also advanced obstacle avoidance strategies for mobile soft manipulators (22 citations) and introduced a PH-Gauss-Lobatto reduced-order model for efficient shape control (2024). Beyond soft robotics, Mbakop has explored systems-of-systems engineering for autonomous supply chain management in Industry 4.0. His research is pivotal for applications in logistics, medical therapy, and human-robot collaboration, making him a notable figure in the evolution of compliant, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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