Abhinav Sinha

Indian Institute of Technology Bombay, Tata Consultancy Services (India), KIIT University

Papers

Total Citations

H-Index

About

Abhinav Sinha is a robotics and control systems researcher whose work spans multiagent systems, nonlinear control theory, and mobile robotics. His research addresses some of the most challenging problems in autonomous systems, including the coordination of resource-constrained networked agents and the stabilization of inherently unstable robotic platforms. Sinha's most-cited contribution, "Consensus-Based Odor Source Localization by Multiagent Systems Under Resource Constraints" (2019, 24 citations), demonstrates his ability to bridge theoretical control frameworks with practical robotic applications, tackling bandwidth and energy limitations in real-world deployments. His foundational work on sliding mode control — spanning robotic manipulators and two-wheeled inverted pendulum systems — has established him as a specialist in robust nonlinear control design, with papers from 2013 and 2015 accumulating 16 and 14 citations respectively, reflecting sustained influence in the field. His industrial contributions extend to automated pick-and-place systems, highlighting a consistent thread of translating advanced control theory into deployable engineering solutions. Collectively, Sinha's portfolio reflects a researcher committed to making autonomous systems more reliable, efficient, and mathematically rigorous — work of growing relevance as robotics continues to expand into complex, resource-limited environments.