Max Robotics — Global Service Robot Directory + US Certification

About

Andoni Rivera is a robotics researcher whose work sits at the intersection of human-robot collaboration, mixed reality, and intelligent robot programming. His research addresses one of manufacturing's most pressing challenges: enabling non-specialist workers to program, guide, and collaborate with robotic systems intuitively and without halting production. Rivera's most impactful contributions center on leveraging mixed reality environments to facilitate offline cobot programming — allowing workers to interact with holographic digital twins of robots while the physical system remains operational. This innovative approach, explored across several highly cited works (earning 15–19 citations each), has helped establish mixed reality as a practical tool in industrial robotics workflows. Complementing this, his 2023 work on deep reinforcement learning for mobile manipulation (22 citations) demonstrates his fluency in machine learning, training robots to autonomously determine optimal positioning strategies for pick-and-place tasks. More recently, Rivera has contributed to the MASTER XR Platform, an extended reality ecosystem designed to train manufacturing workers in human-robot collaboration, and has explored simulation-based synthetic data generation for bin-picking segmentation. Across his career, Rivera's research consistently prioritizes accessibility and practicality, making advanced robotics technology approachable for everyday industrial users.