Max Robotics — Global Service Robot Directory + US Certification

About

Sangeet Saha is a leading researcher in resilient embedded systems and autonomous robotics, with a focus on field-programmable gate arrays (FPGAs) and vision-based sensing for extreme environments. His work addresses critical challenges in deploying robots for hazardous settings, such as nuclear sites, where gamma radiation degrades sensor performance. In his highly cited 2021 paper “RASA: Reliability-Aware Scheduling Approach for FPGA-Based Resilient Embedded Systems in Extreme Environments” (17 citations), Saha introduced a novel scheduling framework that ensures FPGA-based systems maintain real-time performance and fault tolerance under harsh conditions—a key enabler for modern robotic platforms. His complementary study on “Gamma-Induced Image Degradation Analysis of Robot Vision Sensor for Autonomous Inspection of Nuclear Sites” (15 citations) systematically characterizes radiation effects on CMOS cameras, providing foundational insights for autonomous nuclear inspection. Saha also contributes to intelligent path planning, proposing an offline-online strategy for goal-oriented coverage, and accelerates real-time video analytics through FPGA-based dynamic deep learning. With over 37 cumulative citations and a clear trajectory toward practical, resilient autonomy, Saha’s work bridges hardware reliability and AI-driven robotics, making him a pivotal figure in extreme-environment automation.