Boudour Ammar

About

Boudour Ammar is a leading researcher in intelligent robotics, specializing in biped locomotion, autonomous navigation, and human-robot interaction. Her most influential work, “Biped robot control using particle swarm optimization” (35 citations), pioneered the use of swarm intelligence to generate stable walking gaits for humanoid robots, optimizing joint trajectories through an adaptive PSO algorithm. She further advanced locomotion control with recurrent neural networks incorporating time delays, as seen in her 15-citation paper on learning to walk, and proposed a hybrid intelligent architecture for the humanoid robot IZiman (14 citations). Beyond gait generation, Ammar has made significant contributions to robot vision and autonomous navigation. Her work on intelligent path planning using recurrent neural networks (24 citations) enables mobile robots to avoid obstacles in dynamic environments, while her systems for visual detection and tracking (13 citations) employ Gabor filters for robust feature extraction. She also developed incremental learning approaches for human detection and tracking, critical for seamless human-robot collaboration. Ammar’s team participated in the ImageCLEF 2013 Robot Vision Challenge, demonstrating expertise in indoor object and scene classification. With over 130 total citations across her publications, her research bridges optimization, neural networks, and computer vision to create more autonomous, perceptive, and adaptable robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Biped robot control using particle swarm optimization

   35 citations · 2010
2. 2
   Intelligent path planning algorithm for autonomous robot based on recurrent neural networks

   24 citations · 2013
3. 3
   Learning to Walk Using a Recurrent Neural Network with Time Delay

   15 citations · 2013
4. 4
   Architectural Proposal for a Robotized Intelligent humanoid, IZiman

   14 citations · 2007
5. 5
   Learning system for mobile robot detection and tracking

   13 citations · 2012
6. 6
   Toward Intelligent Biped-Humanoids Gaits Generation

   12 citations · 2009
7. 7
   Learning system for standing human detection

   9 citations · 2011
8. 8
   Incremental learning approach for human detection and tracking

   5 citations · 2011
9. 9
   REGIMRobvid: Objects and Scenes Detection for Robot Vision 2013.

   3 citations · 2013
10. 10
    Architectural proposal for a mobile telepresence robot, REGIMTEL

    2 citations · 2014

Key Collaborators

Contact & Links