Max Robotics — Global Service Robot Directory + US Certification

About

Gemma Roig is a leading researcher at the intersection of computer vision, robotics, and human-robot interaction, with a core focus on developing intelligent systems that can perceive and adapt to the world with a deep understanding of uncertainty. Her major contributions lie in advancing visual perception for autonomous systems, particularly in unconstrained, real-world settings where reliability is critical. In her highly cited work, "On-line semantic perception using uncertainty," Roig pioneered methods for robots to not only perceive their environment but also to quantify the confidence of that perception, enabling safer and more robust decision-making. This foundational work, with 16 citations, addresses a fundamental challenge in robotics: that visual solutions are often inaccurate in complex scenes. Roig further demonstrated the impact of her research in the FP7 project RADHAR, where she developed frameworks for semi-autonomous wheelchair navigation that fuse uncertain perceptual data with human intent. Her work is essential for creating assistive technologies that can gracefully handle the unpredictability of human behavior and dynamic environments, marking her as a key innovator in building truly adaptive robotic systems.