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About

Bengt Lennartson is a prominent researcher whose work spans advanced manufacturing automation, robotics, and sustainable industrial systems. His contributions have significantly advanced two major fields: laser-based additive manufacturing and energy-efficient robotic systems. In laser metal-wire deposition, Lennartson pioneered feedback and learning-based control strategies to improve precision and stability. His iterative learning control approach for height regulation (248 citations) and optical measurement-based feedback system (137 citations) have become foundational references for researchers working in metal additive manufacturing. Perhaps equally impactful is Lennartson's extensive body of work on energy optimization in robotics. Across numerous highly cited studies, he developed novel scheduling models, dynamic programming techniques, and trajectory optimization algorithms capable of reducing robot energy consumption by up to 45% and peak power by up to 60%—contributions directly tied to industrial sustainability. His work on multi-robot coordination, automated guided vehicle systems, and spray painting trajectory generation demonstrates a remarkably broad yet cohesive research vision. His involvement in the EU-funded AREUS project further underscored his international influence in sustainable industrial robotics. With a publication record accumulating hundreds of citations, Lennartson stands as a leading voice in intelligent, energy-conscious manufacturing automation.