Papers
2
Total Citations
7
H-Index
2
About
Mohamed Shili is a robotics researcher advancing the frontiers of autonomous navigation and embedded system reliability. His work centers on two critical challenges: energy-efficient sensor fusion for constrained environments and intelligent thermal management for robotic electric motors. In his 2025 paper "Energy-Aware Sensor Fusion Architecture for Autonomous Channel Robot Navigation in Constrained Environments" (4 citations), Shili tackles the power inefficiency of always-active sensor arrays. He proposes an adaptive fusion framework that selectively activates sensors based on environmental context, enabling robots to navigate tight, obstacle-filled channels while dramatically reducing energy consumption—a breakthrough for long-duration autonomous missions. Complementing this, his "Novel Intelligent Thermal Feedback Framework for Electric Motor Protection in Embedded Robotic Systems" (3 citations) addresses a pressing reliability issue. As robots operate longer in uncertain conditions, motor overheating threatens performance and safety. Shili’s framework provides real-time thermal monitoring and adaptive control, preventing damage without sacrificing operational demands. Though early in his career, his dual focus on energy and thermal efficiency positions him as a rising voice in sustainable robotics. His work promises to make autonomous systems both more resilient and more practical for real-world deployment.
Research Focus
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