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About

Choukri Bensalah is a robotics researcher whose work centers on solving complex kinematic and control challenges for robotic systems, with a particular focus on anthropomorphic hands and aerial manipulators. His major contributions lie in developing efficient inverse kinematics methods that enable more natural and dexterous manipulation. Bensalah pioneered a novel approach combining Modified Selectively Damped Least Squares (MSDLS) with Jacobian Transpose methods, significantly improving finger positioning accuracy for anthropomorphic hands. He further advanced this work by extending the SDLS approach with estimated Singular Value Decomposition, allowing all fingers to be treated as a unified system during grasp generation and in-hand manipulation. His research also explores kinodynamic planning-learning algorithms for complex robot motor control, aiming to reduce the need for prior task knowledge. With over 11 citations across his most-cited papers, Bensalah’s work has laid important groundwork for more intuitive and adaptive robotic manipulation. His 2025 paper on aerial manipulator inverse kinematics signals an exciting expansion into drone-based robotic systems, promising new capabilities for autonomous aerial tasks.