Max Robotics — Global Service Robot Directory + US Certification

About

Jorge Nicho is a researcher specializing in industrial robotics, cloud computing, and autonomous systems, with a particular focus on bridging the gap between robotic applications and modern networking infrastructure. He is best known for his development of **Gilbreth**, an innovative pick-and-sort industrial robotics application that enables autonomous object recognition and sorting from moving conveyor belts using 3D sensing technology — work that has accumulated over 50 citations across multiple publications and iterations. Nicho's research has made meaningful contributions to the emerging field of cloud robotics, demonstrating how distributed robotic applications can be effectively deployed over high-speed wide-area networks using ROS-based frameworks. His pioneering 2016 work on geographically unconstrained industrial robot control — leveraging SDN-based optical transport networks and edge computing — helped establish foundational principles for remotely operated robotics systems. Through successive refinements of the Gilbreth system, including improvements to object recognition and motion planning in Gilbreth 2.0, he has demonstrated a rigorous, iterative approach to advancing autonomous industrial robotics. His body of work is particularly valuable to students and practitioners interested in the convergence of robotics, cloud infrastructure, and real-world manufacturing automation.