José del R. Millán — accepted AI-conference papers

2026

Characterizing Expectation Mismatch in a Brain-Controlled Upper-Body Rehabilitation Exoskeleton

Satyam Kumar, Kanishka Mitra, Deland Hu Liu, Hussein Alawieh, Frigyes Samuel Racz, Stefano Dalla Gasperina +2

RA-L 2026

Robot-assisted therapy has long promised to advance stroke rehabilitation by delivering intensive and personalized training, yet its clinical impact remains limited. Closing the sensorimotor loop with brain-computer interfaces offers a better strategy than passive mobilization, directly linking user

Cited by 1 Source ↗Scholar ↗

2026

Real-Time Decoding of Movement Onset and Offset for Brain-Controlled Rehabilitation Exoskeleton

Kanishka Mitra, Satyam Kumar, Frigyes Samuel Racz, Deland Hu Liu, Ashish Deshpande, José del R. Millán

ICRA 2026poster

Robot-assisted therapy can deliver high-dose, task-specific training after neurologic injury, but most systems act primarily at the limb level - engaging the impaired neural circuits only indirectly - which remains a key barrier to truly contingent, neuroplasticity-targeted rehabilitation. We addres…

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2025

Towards Evaluating the User Comfort and Experience of a Novel Steerable Drilling Robotic System in Pedicle Screw Fixation Procedures: A User Study

Susheela Sharma, Frigyes Samuel Racz, Sarah Go, Siddhartha Kapuria, Omid Rezayof, Jordan P. Amadio +3

ICRA 2025

Aiming at developing a safe, intuitive, and collaborative steerable drilling robotic system for pedicle screw fixation procedures, in this paper, we leverage our recently developed steerable drilling robotic framework, and developed a collaborative drilling mode to control this system. In this contr

Cited by 0 Source ↗Scholar ↗

2023

Characterizing the Onset and Offset of Motor Imagery During Passive Arm Movements Induced by an Upper-Body Exoskeleton

Kanishka Mitra, Frigyes Samuel Racz, Satyam Kumar, Ashish D. Deshpande, José Del R. Millán

IROS 2023poster

Two distinct technologies have gained attention lately due to their prospects for motor rehabilitation: robotics and brain-machine interfaces (BMIs). Harnessing their combined efforts is a largely uncharted and promising direction that has immense clinical potential. However, a significant challenge…

Cited by 5 Source ↗Scholar ↗

2023

CogniDaVinci: Towards Estimating Mental Workload Modulated by Visual Delays During Telerobotic Surgery - An EEG-based Analysis

Satyam Kumar, Deland H. Liu, Frigyes S. Racz, Manuel Retana, Susheela Sharma, Fumiaki Iwane +5

ICRA 2023poster

Communication latency in any delicate telerobotic operation (such as remote surgery over distance) would impose a significant challenge due to the temporal degradation of visual perception and can substantially affect the outcomes. Less is known, however, about the neurophysiological basis of how op…

Cited by 4 Source ↗Scholar ↗

2018

mano: A Wearable Hand Exoskeleton for Activities of Daily Living and Neurorehabilitation

Luca Randazzo, Iñaki Iturrate, Serafeim Perdikis, José del R. Millán

RA-L 2018

Hand sensorimotor impairments are among the most common consequences of injuries affecting the central and peripheral nervous systems, leading to a drastic reduction in the quality of life for affected individuals. Combining wearable robotic exoskeletons and human-machine interfaces is a promising a

Cited by 121 Source ↗Scholar ↗