Papers
21
Total Citations
210
H-Index
8
About
Nabih Pico is an emerging robotics researcher whose work spans autonomous navigation, mobile robot design, and robotic manipulation, with a growing body of contributions that has already accumulated over 160 citations across his published works. His most recognized contribution, "Dynamic Warning Zone and a Short-Distance Goal for Autonomous Robot Navigation" (2023, 31 citations), advances socially compliant robot behavior in crowded environments through deep reinforcement learning — a thread that runs prominently throughout his research agenda. Pico has demonstrated remarkable breadth, tackling challenges from wheel-slip estimation in climbing robots (29 citations) to logistics automation through intelligent unloading sequence planning (22 citations). His work on six-wheeled rover design and stair-navigation safety (19 citations) reflects a practical engineering sensibility, while his investigations into collaborative robot dynamics and friction modeling underscore rigorous attention to precision control. More recently, Pico has explored radar-integrated deep reinforcement learning frameworks and ROS-based teleoperation systems, signaling a push toward robust real-world deployment of autonomous systems. For students entering robotics, his portfolio offers an instructive model of how principled algorithmic innovation and hands-on mechanical design can be meaningfully combined.
Research Focus
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Top Papers
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