Rabab Benotsmane

About

Rabab Benotsmane is a researcher specializing in industrial robotics, autonomous systems, and the technological foundations of Industry 4.0. Her work sits at the intersection of smart manufacturing, artificial intelligence, and sustainable production, making meaningful contributions to how modern factories are designed and optimized. Her most cited work, "Economic, Social Impacts and Operation of Smart Factories in Industry 4.0" (2019, 108 citations), established her as a prominent voice in the collaborative robotics space, exploring how autonomous robots, IoT, and Big Data converge within intelligent production environments. Building on this foundation, Benotsmane has advanced practical solutions for industrial challenges, including energy consumption optimization using PID and MPC controllers (2023, 56 citations) and innovative trajectory optimization methods — notably her "Whip-Lashing" algorithm (2020, 28 citations) — designed to reduce cycle times and improve manufacturing efficiency. Her broader body of work, including surveys on AI algorithms in industrial robotics and robotic tools in the automotive sector, demonstrates a commitment to synthesizing emerging trends for both researchers and practitioners. More recently, her exploration of teleoperation control for robotic hands signals a growing interest in human-robot interaction. Across her publications, Benotsmane has accumulated over 270 citations, reflecting her expanding influence in sustainable, intelligent manufacturing research.

Research Focus

Key Achievements

Top Papers

1. 1
   Economic, Social Impacts and Operation of Smart Factories in Industry 4.0 Focusing on Simulation and Artificial Intelligence of Collaborating Robots

   108 citations · 2019
2. 2
   Optimization of Energy Consumption of Industrial Robots Using Classical PID and MPC Controllers

   56 citations · 2023
3. 3
   Trajectory Optimization of Industrial Robot Arms Using a Newly Elaborated “Whip-Lashing” Method

   28 citations · 2020
4. 4
   THE CONCEPT OF AUTONOMOUS SYSTEMS IN INDUSTRY 4.0

   24 citations · 2018
5. 5
   Newly Elaborated Hybrid Algorithm for Optimization of Robot Arm’s Trajectory in Order to Increase Efficiency and Provide Sustainability in Production

   16 citations · 2021
6. 6
   Survey on New Trends of Robotic Tools in the Automotive Industry

   12 citations · 2020
7. 7
   Survey on artificial intelligence algorithms used in industrial robotics

   11 citations · 2020
8. 8
   Collaborating robots in Industry 4.0 conception

   11 citations · 2018
9. 9
   Collaborating robots in industry 4.0 conception

   6 citations · 2018
10. 10
    Application of Teleoperation Control for a Robotic Hand using a Glove

    3 citations · 2024

Key Collaborators

Contact & Links