Wadhah Zai El Amri
Papers
2
Total Citations
3
H-Index
1
About
Wadhah Zai El Amri is a robotics researcher whose work lies at the intersection of deep reinforcement learning and tactile perception. His research focuses on developing intelligent control architectures for embodied agents and advancing robotic touch sensing. In his 2023 paper on hierarchical decentralized deep reinforcement learning, El Amri proposed a novel architecture for controlling a simulated four-legged agent, demonstrating how decentralized decision-making can improve coordination and adaptability in complex locomotion tasks. His 2025 work, "ACROSS," introduces a deformation-based cross-modal representation for tactile perception using BioTac sensors—a critical contribution to enabling robots to interpret physical interactions with their environment. This research has direct applications in slip detection and object identification, areas essential for dexterous manipulation. While his citation counts are still growing—reflecting the early stage of his career—El Amri’s work is already shaping how robots learn to move and feel. His contributions to hierarchical reinforcement learning and cross-modal tactile sensing position him as an emerging voice in the push toward more autonomous and perceptive robotic systems.
Research Focus
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Top Papers
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