We began our work with treadmill‑based gait rehabilitation systems, starting with LOPES I, the first force‑controlled robotic gait trainer, followed by its successor LOPES II. For LOPES II, we developed a control framework that supports the key subtasks of gait and automatically adjusts assistance to each patient. The system was successfully validated in a large clinical trial n people with stroke in collaboration with Roessingh Rehabilitation Center and Sint Maartenskliniek. We are now exploring how model‑based control and AI‑driven adaptation can further advance individualized robot‑aided gait training.
Building on these foundations, we developed force‑controlled exoskeletons for overground walking, including Mindwalker and Symbitron. Here we developed control algorithms to support balance during standing and demonstrated its effect in a person with a complete spinal cord injury. Additionally we developped human‑inspired neuromuscular control strategies which allow more versatile assistance during gait. A training study with the modular Symbitron ankle exoskeleton demonstrated improved walking speed in people with incomplete spinal cord injury, both with and without the device, highlighting its potential to support motor recovery.
Examples
Robot aided gait training using lopes
We developed LOPES II, a robotic gait trainer designed to make stroke rehabilitation more natural, task‑specific, and efficient. Its eight powered degrees of freedom and low‑impedance admittance control enable both free‑walking‑like training and targeted gait support. Thanks to its end‑effector design and minimal alignment requirements, LOPES II offers fast setup times and provides support for both severely and mildly impaired patients. Meuleman, J., Van Asseldonk, E., Van Oort, G., Rietman, H., & Van Der Kooij, H. (2016). LOPES II—Design and Evaluation of an Admittance Controlled Gait Training Robot With Shadow-Leg Approach. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(3), 352–363. https://doi.org/10.1109/TNSRE.2015.2511448
Balance control for person with complete spinal cord injury
We developed and evaluated a momentum-based balance controller for the Symbitron lower limb exoskeleton and demonstrated autonomous standing balance for a paraplegic user. Through systematic gain tuning and push-response testing, we derived practical guidelines for optimizing control performance within hardware constraints. The controller allows the exoskeleton to reject external disturbances up to 60 N, marking a key step toward autonomous exoskeleton balance. Prieto, A. V., Keemink, A. Q. L., Asseldonk, E. H. F. van, & Kooij, H. van der. (2025). Implementation and Tuning of Momentum-Based Controller for Standing Balance in a Lower-limb Exoskeleton with Paraplegic User. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/TNSRE.2025.3526424

