Clovis Francis
Papers
5
Total Citations
101
H-Index
5
About
Clovis Francis is a leading researcher in advanced robotics, specializing in the control and trajectory optimization of parallel kinematic manipulators (PKMs). His work focuses on enhancing the speed, precision, and robustness of robotic systems, particularly for industrial applications. Francis has made major contributions to sliding mode control, notably developing a novel feedforward super-twisting sliding mode controller for robotic manipulators, which ensures local asymptotic finite-time convergence—a key advancement for high-speed tasks. His most-cited paper (2023, 58 citations) demonstrates this innovation’s impact. He also pioneered time-optimal pick-and-throw S-curve trajectories (2022, 25 citations), enabling faster cycle times by replacing traditional placement with throwing motions. Additionally, his research integrates actuator and friction dynamics into control formulations, bridging design and real-time implementation. Through real-time experiments on redundant parallel robotic machining tools, Francis has validated his model-based robust controllers, achieving practical improvements in productivity and stability. His work is essential reading for students and engineers seeking to push the boundaries of robotic performance in manufacturing and automation.
Research Focus
Key Achievements
Top Papers
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- 2Time-Optimal Pick-and-Throw S-Curve Trajectories for Fast Parallel Robots25 citations · 2022
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