Jonathan B. Dingwell

Shirley Ryan AbilityLab, Northwestern University, The University of Texas at Austin

Papers

Total Citations

542

H-Index

About

Jonathan B. Dingwell is a leading researcher in the biomechanics and neural control of human movement, with a particular focus on how the nervous system adapts to uncertainty and interacts with complex physical environments. His seminal 2001 paper, "Learning to Move Amid Uncertainty" (430 citations), demonstrated how healthy individuals adapt goal-directed reaching movements against unpredictable robotic perturbations, revealing the brain's capacity to build and update internal models of dynamic environments. This foundational work established Dingwell as a key figure in motor learning and control. He further advanced the field with his 2002 study on "Manipulating Objects With Internal Degrees of Freedom" (110 citations), which provided compelling evidence that the nervous system employs model-based strategies—not just reactive feedback—to control interactions with complex, multi-joint objects. His 2004 work on "Multijoint arm control: beyond reaching" (2 citations) expanded the scope of motor control research beyond simple point-to-point movements, exploring how humans manage interactions with force fields and surface boundaries. Collectively, Dingwell’s research bridges robotics, neuroscience, and biomechanics, offering profound insights into how we learn, adapt, and move through an unpredictable world.