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About

Lars Karlsson is a prominent researcher whose work spans robotics, artificial intelligence, and assistive technology for elderly care. He has made substantial contributions to two distinct but complementary domains: combined task and motion planning (CTAMP) for robotic systems, and sensor-based home monitoring platforms designed to support independent living. In the field of robotics planning, Karlsson developed innovative constraint-based approaches to address geometric backtracking in hybrid planning systems, where symbolic task planning and physical geometric reasoning must be seamlessly integrated. His papers on CTAMP have collectively garnered over 300 citations, establishing him as a key figure in enabling robots to reason effectively about real-world manipulation tasks. Karlsson is also a central contributor to the GiraffPlus project, a European initiative creating intelligent systems that monitor elderly individuals' physiological parameters and daily activities while facilitating social interaction. These publications alone have accumulated over 300 citations, reflecting their broad influence on assistive robotics and healthcare technology. Earlier in his career, Karlsson pioneered the use of electronic olfaction on mobile robots, exploring how artificial smell could enable object recognition and environmental sensing — a creative and forward-thinking research direction. His diverse portfolio demonstrates a consistent commitment to building intelligent, human-aware robotic systems that meaningfully improve everyday life.