Max Robotics — Global Service Robot Directory + US Certification

About

Jyoti Sekhar Banerjee is a researcher whose work sits at the dynamic intersection of artificial intelligence, robotics, and intelligent automation. His contributions span over a decade, beginning with foundational work in machine learning-driven robotics and evolving toward cutting-edge explorations of AI-powered automation systems. His 2013 paper on the Advance Q Learning (AQL) algorithm demonstrated a meaningful improvement over classical and improved Q learning approaches for mobile robot path planning and obstacle avoidance, earning 24 citations and establishing his credentials in reinforcement learning and autonomous systems. More recently, Banerjee has emerged as a prominent voice in the rapidly growing field of Robotic Process Automation (RPA) and its convergence with AI, with his 2023 edited work on the confluence of AI and RPA accumulating 30 citations — his most impactful contribution to date. His engagement with transformative technologies extends to generative AI, as evidenced by his widely read piece on ChatGPT within the Society 5.0 framework, cited 15 times. Collectively, his research reflects a forward-thinking scholarly vision, bridging theoretical machine learning foundations with practical, society-shaping automation technologies.