Akash Singh

Medi-Caps University, National Tsing Hua University, The University of Texas at Austin, Visvesvaraya National Institute of Technology

Papers

Total Citations

H-Index

About

Akash Singh is a robotics researcher whose work spans mobile robotics, modular robot systems, and human-robot interaction. His research portfolio reflects a progression from foundational robot control systems to sophisticated autonomous navigation and locomotion optimization. Singh's early work on Bluetooth-controlled spy robots (2017, 25 citations) demonstrated practical applications of mobile-app-guided robotic systems, establishing a foundation for his later, more complex contributions. He subsequently advanced the field of snake-like modular robotics, developing novel omnidirectional spherical configurations and, most notably, applying multiobjective reinforcement learning combined with fuzzy inference systems to optimize energy-efficient gait patterns — a 2022 study that has already garnered 24 citations and addresses the critical challenge of balancing locomotion speed against power consumption in challenging terrains. His work on socially aware robot navigation (2021, 18 citations) reflects a broader interest in deploying robots within human environments, leveraging gaze and head orientation as behavioral predictors to enable safer, more intuitive human-robot coexistence. Collectively, Singh's research bridges hardware design, intelligent control algorithms, and social robotics, making meaningful contributions to the development of adaptable, context-aware robotic systems.