Max Robotics — Global Service Robot Directory + US Certification

About

Shengwei Yu’s research lies at the intersection of mobile sensor networks, energy harvesting, and optimal control, with a central focus on maximizing network lifetime through intelligent mobility and routing strategies. His work addresses the fundamental challenge of keeping energy-constrained mobile robots operational for as long as possible, formulating complex nonlinear, non-convex optimization problems that are solved distributively using convex approximations and hybrid systems theory. Yu’s most-cited paper (11 citations) proposes mobility strategies to extend network lifetime in energy-harvesting environments, while his subsequent work jointly designs mobility and routing to further improve performance. He also introduces distributed saddle-point computation and energy-optimal control frameworks, demonstrating a systematic approach to balancing communication and mobility energy costs. His contributions extend to mobile visual sensor networks, where mobility is exploited to significantly enhance network longevity. Yu’s research is notable for its rigorous mathematical formulation and practical relevance to autonomous systems, offering foundational insights for students and researchers working on energy-efficient robotics, wireless sensor networks, and cyber-physical systems.