Papers
8
Total Citations
41
H-Index
4
About
Rahma Boucetta’s research lies at the intersection of robotics, control systems, and bio-inspired design, with a focus on flexible manipulators, human-robot interaction, and novel sensing technologies. Her most cited work, “Kinect-based Computed Torque Control for lynxmotion robotic arm” (16 citations), demonstrates her expertise in real-time interactive control by integrating Kinect sensors with LabVIEW to create intuitive human-machine interfaces for robotic arms. She has made significant contributions to the dynamic modeling and control of rigid-flexible manipulators, using Hamilton’s principle to derive accurate models and applying advanced strategies like Generalized Predictive Control and neural networks to improve performance. Her innovative spirit is evident in her design of an ultrasonic sensor for low-cost, high-precision mobile robot localization and a wheeled robot frictional force controller for challenging terrains. More recently, she has ventured into bio-inspired robotics with a novel unmanned aerial vehicle design inspired by owls for noise-free flight. With a growing body of work spanning from foundational dynamic analysis to cutting-edge sensor development, Boucetta’s research continues to push the boundaries of robotic manipulation and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Kinect-based Computed Torque Control for lynxmotion robotic arm16 citations · 2015
- 2Generalized Predictive Control for a Flexible Single-Link Manipulator7 citations · 2013
- 3
- 4Neural Network Modeling of a Flexible Manipulator Robot4 citations · 2012
- 5An innovative ultrasonic position and velocity sensor for mobile robots2 citations · 2018
- 6
- 7
- 8A novel frictional force control of a wheeled robot2 citations · 2017