Papers
26
Total Citations
651
H-Index
15
About
Achille Melingui is a prominent robotics researcher whose work centers on continuum robotics, bionic manipulators, and advanced control systems. He has made significant contributions to one of the field's most pressing challenges: modeling and controlling soft, biologically inspired robotic systems that defy conventional rigid-body assumptions. His research on the Compact Bionic Handling Arm (CBHA) — a pneumatically actuated continuum manipulator inspired by elephant trunks and tentacles — has been particularly influential, with his 2015 paper on adaptive neural network control accumulating 112 citations, establishing him as a leading voice in intelligent continuum robot control. Melingui has pioneered multiple innovative approaches to kinematic and dynamic modeling, including the application of Pythagorean Hodograph curves (85 citations) and hybrid qualitative-quantitative methods to solve notoriously complex inverse kinematics problems in real time. His adaptive control frameworks address critical performance limitations in soft robots, including speed, accuracy, and resilience to model uncertainties. More recently, his work on soft continuum finger robots and parametric curve-based shape control reflects a natural evolution toward practical applications. Collectively, his publications have garnered over 460 citations, making him an essential reference for researchers navigating the rapidly expanding frontier of bionic and soft robotics.
Research Focus
Key Achievements
Top Papers
- 1Adaptive Neural Network Control of a Compact Bionic Handling Arm112 citations · 2015
- 2Modeling of Continuum Manipulators Using Pythagorean Hodograph Curves85 citations · 2018
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- 10Inverse Kinematic modeling of a class of continuum bionic handling arm23 citations · 2014