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About

D. Sanjay is a robotics researcher specializing in reconfigurable service robots, FPGA-based hardware acceleration, and intelligent path planning for indoor environments. His work focuses on developing efficient, real-time robotic systems that can navigate dynamic spaces and follow human operators using advanced control algorithms. Sanjay’s most cited paper, “A Novel approach and Implementation of Robot path planning using Parallel processing algorithm” (2012, 10 citations), introduces a parallel processing method for mobile robot navigation in self-service canteens, enabling obstacle-aware free-space mapping. His “Person follower robotic system” (2014, 9 citations) leverages NI Single-board RIO and image processing for human-robot interaction, while his “FPGA based robots hardware efficient scheme for Real time indoor environment with behavioural control” (2015, 5 citations) applies Particle Swarm Optimization to multi-robot coordination. Sanjay also explores fuzzy logic control for person-following behaviors, as seen in his 2015 work (3 citations). With a total of over 35 citations across his key publications, Sanjay’s contributions to low-power, reconfigurable robotics—particularly through FPGA implementations—offer practical solutions for real-time, adaptive automation in indoor settings.