Daniel Lewkowicz

Université de Lille, Aberystwyth University

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About

Daniel Lewkowicz investigates the intersection of social cognition, motor control, and developmental robotics, focusing on how biological and artificial systems perceive and act upon their environments. His most cited work, "Effects of social intention on movement kinematics in cooperative actions" (2013, 49 citations), demonstrates how social context—such as cooperating with a partner—fundamentally alters the kinematics of goal-directed movements, challenging purely internal models of motor control. This contribution bridges cognitive science and robotics, offering insights for designing more natural human-robot interactions. Lewkowicz also advances developmental robotics through the "Babybot challenge: Motor skills" (2015, 6 citations), where he modeled early infant reaching behaviors on an iCub humanoid robot, reproducing longitudinal studies of motor development. His research on "Perception of Localized Features During Robotic Sensorimotor Development" (2017, 9 citations) and "Towards learning strategies and exploration patterns for feature perception" (2016, 4 citations) explores how visual perception and gaze control evolve in robotic systems, mirroring infant development. Together, his work provides a computational framework for understanding how social intention and perceptual learning shape action, with implications for autonomous robotics and developmental psychology.