Walid Touzout

Papers

1

Total Citations

3

H-Index

1

About

Walid Touzout is a researcher specializing in mobile robotics, energy-efficient autonomous systems, and simulation environments. His work focuses on addressing a critical bottleneck in robotics—the limited autonomy imposed by battery capacity. Touzout’s major contribution lies in integrating energy consumption modelling directly into the Robot Operating System (ROS) and Gazebo simulation framework, enabling more realistic and energy-aware path planning and task scheduling for mobile robots. His most-cited paper, “Mobile Robot Energy Modelling Integrated into ROS and Gazebo-Based Simulation Environment” (2022), has garnered 3 citations, reflecting its foundational role in advancing energy minimization techniques. By bridging simulation and real-world energy constraints, Touzout’s research empowers developers to design longer-lasting, more efficient autonomous systems. His work is particularly notable for its practical impact on reducing energy waste in robotics, making it a valuable resource for students and researchers tackling the challenge of sustainable autonomy. Touzout continues to explore innovative strategies for optimizing robot performance through energy-aware algorithms.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
MOBILE ROBOT ENERGY MODELLING INTEGRATED INTO ROS AND GAZEBO-BASED SIMULATION ENVIRONMENT, 66-73.
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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