Chetan Singh Thakur

Indian Institute of Science Bangalore, Texas Instruments (Norway)

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About

Chetan Singh Thakur is a researcher at the forefront of hardware-accelerated robotic intelligence, specializing in the real-time implementation of complex Bayesian estimation algorithms on Field-Programmable Gate Arrays (FPGAs). His core research areas include biomimetic spatial navigation, particle filtering for source localization, and embedded systems for robotics. Thakur’s major contribution lies in overcoming the computational bottleneck of particle filters—a technique prized for handling non-Gaussian, non-linear systems but traditionally too slow for real-time use. By porting these algorithms onto FPGA hardware, he has demonstrated that robotic platforms can perform reliable tracking and localization in dynamic environments without sacrificing speed. His most cited works, including “FPGA Implementation of Particle Filters for Robotic Source Localization” (2021, 9 citations) and “Biomimetic FPGA-based spatial navigation model with grid cells and place cells” (2021, 9 citations), showcase a unique fusion of neural-inspired navigation with digital logic. Notably, his 2020 paper on source localization using imprecise binary measurements (5 citations) highlights his ability to achieve robust performance even with noisy, low-resolution sensors. Through this work, Thakur is paving the way for efficient, brain-like navigation in autonomous systems.