Jamel Baili
Papers
1
Total Citations
1
H-Index
1
About
Jamel Baili is a robotics researcher whose work focuses on advancing autonomous decision-making and multi-agent coordination, particularly in dynamic, real-time environments. His primary research areas include humanoid robotics, multi-robot systems, and active perception for interactive tasks. Baili’s most notable contribution is his 2024 paper, "Active interception of moving ball: a multi-player strategy for humanoid soccer robots," which introduces a novel framework for enabling humanoid robots to collaboratively intercept a moving ball—a critical challenge in robotic soccer. This work demonstrates how multiple agents can anticipate and adapt to fast-moving objects, bridging gaps between control theory, computer vision, and team strategy. While his citation count is still emerging, the paper’s practical relevance to the RoboCup community and autonomous systems underscores its potential impact. Baili’s research is especially valuable for students and engineers interested in real-time robotics, offering a clear example of how theoretical models translate into competitive, real-world performance. His ongoing work promises to further refine multi-robot coordination in unpredictable settings.
Research Focus
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Top Papers
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