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About

Anders Eriksson is a leading researcher in robotics and computer vision, whose work centers on developing intelligent systems that can perceive and interact with complex, unstructured environments. His primary research areas include visual servoing, robotic manipulation, and fault-tolerant robot design. Eriksson’s most significant contribution is the pioneering "3D Move to See" (3DMTS) framework, a novel approach that integrates a 3D camera array with a robotic manipulator to dynamically find the next best view in occluded scenes. This work, published in 2019 and cited over 40 times, has advanced the field of multi-perspective visual servoing by enabling robots to autonomously improve their perception through movement. He has also made notable contributions to robot safety and reliability, developing novel fault-tolerance indices for redundantly actuated parallel robots—critical for applications in surgery, space, and hazardous material handling. With a growing body of work that bridges theoretical innovation and practical application, Eriksson is helping to shape the next generation of autonomous robotic systems capable of operating safely and effectively in the real world.