Papers
11
Total Citations
55
H-Index
5
About
Sanjay Dubey is a prolific researcher specializing in embedded systems, autonomous robotics, and hardware-efficient computing, with a particular focus on FPGA-based solutions for real-world robotic applications. His work consistently bridges the gap between theoretical robotics and practical hardware implementation, making meaningful contributions to service robots designed for indoor environments. Dubey's most influential contributions center on autonomous navigation, path planning, and multi-robot coordination. His 2016 FPGA-based floor cleaning service robot addressed real-world needs for assistive technology among elderly and working populations, earning 10 citations and establishing his signature approach of hardware-grounded solutions. Subsequent research expanded into multi-robot path planning, edge detection-based navigation, and behavioural control algorithms, collectively demonstrating his commitment to scalable, efficient robotic systems. More recently, Dubey has advanced the field through innovative work on robot parking assistance using sensor fusion, backing crash prevention frameworks, and adaptive grid mapping — all implemented via FPGA hardware schemes. His 2024 contributions on human-robot interaction using adaptive FPGA accelerators reflect his evolving focus on intelligent, responsive robotics. With over 50 cumulative citations and a steadily growing body of work spanning nearly a decade, Dubey represents an important voice in hardware-centric autonomous robotics research, offering practical, implementable solutions to complex navigation and coordination challenges.
Research Focus
Key Achievements
Top Papers
- 1An FPGA based service Robot for floor cleaning with autonomous navigation10 citations · 2016
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