Nahas Pareekutty leads the Autonomous Technologies team as part of the Advanced Engineering Group in Infosys. He is involved in the design and development of robots and autonomous vehicles in areas like personnel transportation, logistics, hardware test automation, inspection, and maintenance. He was part of the core team that developed one of India’s first indigenous autonomous buggies and tow trucks.
In addition to autonomous vehicles, Nahas is passionate about creating custom robotic solutions to reduce human intervention in monotonous and hazardous tasks. Prior to the 7 years in robotics domain, he worked in Industrial Automation for 9 years, building control systems and simulation platforms for gas turbine power plants. His research areas include Reinforcement Learning and Robot Motion Planning.
Revolutionizing Industries: AI-Driven Robotics in Agriculture, Construction, and Manufacturing
Domains like agriculture, construction, manufacturing have significantly benefitted from robotics and automation in the past few decades. Recently, robots developed for these applications have shifted from large, complex systems to simple, compact, and inexpensive machines driven by mass manufacturing and competition.
Predictably, task planning for these fleets becomes increasingly complex, especially when considering the targets of efficiency and economy. In this study, we look at the various strategies used for task planning and how the proliferation of tools and compute resources have enabled real-world applications of AI in robotics.