Max Robotics — Global Service Robot Directory + US Certification

About

Morris Antonello’s research lies at the intersection of robotics, computer vision, and automated manufacturing, with a focus on enabling robots to perceive and interact with their environments with high precision. His most cited work, “A fully automatic hand-eye calibration system” (18 citations), addresses a fundamental challenge in industrial robotics: accurately determining the transformation between a camera mounted on a robot’s end-effector and the robot itself. This capability is critical for tasks like 3D object localization and quality inspection. Antonello has also made significant contributions to semantic segmentation for robotics, as demonstrated in his 2020 paper (17 citations), where he enhanced segmentation accuracy by integrating detection priors and iterated graph cuts. His work extends to non-destructive testing, including an autonomous robotic system for thermographic defect detection in carbon fiber reinforced polymers (9 citations), a key technology for aerospace and automotive industries. Additionally, he has developed open-source robotic platforms for ambient assisted living and continuous mapping systems for large-surface quality inspection. With a portfolio of papers spanning from 2015 to 2022, Antonello’s research consistently bridges theoretical advances with practical, deployable robotic solutions, earning him recognition as a versatile engineer advancing automation in both industrial and assistive contexts.