~103 spots leftby Dec 2025

Robotic Controllers for Motor Learning After Neurological Injuries

(HRCEML Trial)

Recruiting in Palo Alto (17 mi)
José L. Pons, PhD
Overseen byJose Pons, Ph.D
Age: 18+
Sex: Any
Travel: May Be Covered
Time Reimbursement: Varies
Trial Phase: Academic
Recruiting
Sponsor: Shirley Ryan AbilityLab
Must not be taking: Botox
Disqualifiers: Pregnancy, Neurological diseases, others
No Placebo Group

Trial Summary

What is the purpose of this trial?

The purpose of this study is to develop a new paradigm to understand how humans physically interact with each other at a single and at multiple joints, with multiple contact points, so as to synthesize robot controllers that can exhibit human-like behavior when interacting with humans (e.g., exoskeleton) or other co-robots. The investigators will develop models for a single joint robot (i.e. at the ankle joint) that can vary its haptic behavioral interactions at variable impedances, and replicate in a multi-joint robot (i.e. at the ankle, knee, and hip joints). The investigators will collect data from healthy participants and clinical populations to create a controller based on our models to implement in the robots. Then, the investigators will test our models via the robots to investigate the mechanisms underlying enhanced motor learning during different human-human haptic interaction behaviors (i.e. collaboration, competition, and cooperation. This study will be carried out in healthy participants, participants post-stroke, and participants with spinal cord injury (SCI).

Do I need to stop taking my current medications to join the trial?

The trial information does not specify whether you need to stop taking your current medications. However, it mentions that participants should not have concurrent medical treatments, which might imply some restrictions. It's best to discuss your specific medications with the trial coordinators.

What data supports the effectiveness of the treatment Human-like Robotic Controllers, Co-Robot Controllers, Exoskeleton-based Dyadic Interaction Infrastructure for motor learning after neurological injuries?

Research shows that robotic systems, including exoskeletons, can help with motor recovery by providing repetitive and task-oriented practice, which is important for relearning movements after neurological injuries. Studies suggest that these systems can be as effective as traditional therapy methods, promoting motor relearning and functional restoration.12345

Is the use of robotic controllers for motor learning after neurological injuries safe for humans?

Research suggests that robotic controllers, such as exoskeletons, are generally safe for use in rehabilitation, as they have been part of clinical practice for over a decade and are designed to ensure safe physical interaction with users. Preliminary studies, including those involving stroke patients, indicate that these systems are feasible and safe for use in rehabilitation settings.12678

How does the robotic controller treatment for motor learning after neurological injuries differ from other treatments?

This treatment is unique because it uses robotic controllers that adapt to the patient's recovery stage, providing personalized, task-oriented rehabilitation. Unlike traditional therapies, it emphasizes 'assist-as-needed' support, encouraging patients to actively participate in their recovery by only providing help when necessary, which can enhance motor learning and functional restoration.123910

Research Team

José L. Pons, PhD

Jose Pons, Ph.D

Principal Investigator

Shirley Ryan AbilityLab

Eligibility Criteria

This trial is for individuals aged 18-80 with normal hearing and vision, who can understand English and give informed consent. It's suitable for healthy participants as well as those post-stroke or with spinal cord injury (SCI), provided they can walk over 10m independently. People with brain lesions, neurological disorders, abnormal limb movements, or outside the height range of 3'6" to 6'2" cannot join.

Inclusion Criteria

Able to understand and speak English
Height between 3 foot 6 inches (1.1 meters) and 6 foot 2 inches
I had a stroke more than 6 months ago.
See 7 more

Trial Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Experiment A

Recruitment of healthy volunteers to model human adaptation in dyadic interactions and develop robot controllers

12 weeks
10 sessions

Experiment B

Testing robot controllers with healthy volunteers, post-stroke, and SCI participants to assess mechanical adaptation and role sharing

5 months
20 sessions

Experiment C

Showcasing robot controllers with post-stroke and SCI participants to observe motor learning and functional outcomes

5 months
10 sessions per robot

Follow-up

Participants are monitored for safety and effectiveness after treatment

4 weeks

Treatment Details

Interventions

  • Human-like Robotic Controllers (Robotics)
Trial OverviewThe study aims to develop robot controllers that mimic human behavior in physical interactions. These will be tested on single joint (ankle) and multi-joint (ankle, knee, hip) robots using variable haptic behaviors like collaboration and competition to enhance motor learning in humans.
Participant Groups
4Treatment groups
Experimental Treatment
Group I: Healthy Participants Bilateral Lower Limb Exoskeleton (H3/X2)Experimental Treatment3 Interventions
The investigators will look at how the task performance and motor performance of individuals in dyadic physical interactions are affected.
Group II: Healthy Participants Ankle Robot (M1)Experimental Treatment3 Interventions
The investigators will look at how the task performance and motor performance of individuals in dyadic physical interactions are affected.
Group III: Clinical Populations Bilateral Lower Limb Exoskeleton (H3/X2)Experimental Treatment4 Interventions
The investigators will look at how the task performance and motor performance of individuals in dyadic physical interactions are affected.
Group IV: Clinical Populations Ankle Robot (M1)Experimental Treatment4 Interventions
The investigators will look at how the task performance and motor performance of individuals in dyadic physical interactions are affected.

Find a Clinic Near You

Who Is Running the Clinical Trial?

Shirley Ryan AbilityLab

Lead Sponsor

Trials
212
Recruited
17,900+
Dr. Pablo Celnik profile image

Dr. Pablo Celnik

Shirley Ryan AbilityLab

Chief Executive Officer since 2023

MD from University of Buenos Aires Faculty of Medical Sciences

Dr. James Sliwa profile image

Dr. James Sliwa

Shirley Ryan AbilityLab

Chief Medical Officer since 2021

DO

U.S. National Science Foundation

Collaborator

Trials
35
Recruited
9,000+

Findings from Research

Robot-assisted rehabilitation therapy for neurological patients aims to enhance motor plasticity through repetitive and task-oriented training, with a focus on adapting to the patient's recovery stage.
The paper proposes a three-level classification system for developing effective upper-limb rehabilitation exoskeletons, emphasizing the importance of compliant control strategies that foster collaboration between the robot and the patient to improve rehabilitation outcomes.
Review on Patient-Cooperative Control Strategies for Upper-Limb Rehabilitation Exoskeletons.Dalla Gasperina, S., Roveda, L., Pedrocchi, A., et al.[2021]
Robotic systems for neuromotor rehabilitation have been used in clinical practice for over a decade, but their effectiveness remains uncertain due to a lack of consensus on key features and theoretical foundations for treatment protocols.
The authors propose a 'research pipeline' that includes validated models of neural control, motor learning, and functional recovery to improve the design of robotic therapies and facilitate better comparisons in clinical trials.
Robot therapy of the upper limb in stroke patients: preliminary experiences for the principle-based use of this technology.Casadio, M., Giannoni, P., Masia, L., et al.[2016]
A pilot study involving 9 healthy subjects and 2 stroke patients explored the use of a multi-joint exoskeleton for robotic assistance during motor imagery tasks, showing that proprioceptive feedback improved control and performance of the robotic movements.
The study suggests that brain-robot interfaces (BRIs) could enhance rehabilitation by linking robotic training to the user's brain activity, potentially allowing for personalized adjustments in task difficulty to aid motor learning and recovery in stroke patients.
Brain state-dependent robotic reaching movement with a multi-joint arm exoskeleton: combining brain-machine interfacing and robotic rehabilitation.Brauchle, D., Vukelić, M., Bauer, R., et al.[2020]

References

Review on Patient-Cooperative Control Strategies for Upper-Limb Rehabilitation Exoskeletons. [2021]
Robot therapy of the upper limb in stroke patients: preliminary experiences for the principle-based use of this technology. [2016]
Brain state-dependent robotic reaching movement with a multi-joint arm exoskeleton: combining brain-machine interfacing and robotic rehabilitation. [2020]
Overground wearable powered exoskeleton for gait training in subacute stroke subjects: clinical and gait assessments. [2020]
Do robotic and non-robotic arm movement training drive motor recovery after stroke by a common neural mechanism? Experimental evidence and a computational model. [2020]
Development of a Low-Cost, Modular Muscle-Computer Interface for At-Home Telerehabilitation for Chronic Stroke. [2021]
Rehabilitation exoskeletal robotics. The promise of an emerging field. [2010]
Neurorehabilitation robotics: how much control should therapists have? [2023]
Functional reorganization of upper-body movements for wheelchair control. [2020]
10.United Statespubmed.ncbi.nlm.nih.gov
Optimizing compliant, model-based robotic assistance to promote neurorehabilitation. [2022]