NCT07616167

Brief Summary

The goal of this clinical trial is to test a new, impairment-aware robotic control software framework to see if its smart adaptation can improve walking recovery in healthy adults and chronic stroke survivors. . The main questions it aims to answer are: Can the new control software safely use sensors and machine learning to predict and instantly adapt to a user's specific walking needs? Does training with a robotic device driven by this new adaptive control framework improve walking speed and overall mobility in stroke survivors? Researchers will compare a lower-limb orthosis operating under the new "smart" control software (which adapts to the user's impairment) to the same device operating under a standard, non-adaptive controller (which uses rigid or fixed assistance) to see if the new control approach leads to greater improvements in walking ability. Participants will: Walk on treadmills, flat walkways, or stairs while wearing a robotic leg orthosis driven by the different control software systems being tested. Wear small tracking tools (like reflective motion-capture markers and muscle activity sensors) so researchers can precisely measure how their movements interact with each control program. Complete standard walking tests to measure their walking speed and overall mobility under each software condition.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
20

participants targeted

Target at below P25 for not_applicable stroke

Timeline
15mo left

Started Oct 2026

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress1%
Oct 2026Dec 2027

First Submitted

Initial submission to the registry

May 19, 2026

Completed
13 days until next milestone

First Posted

Study publicly available on registry

June 1, 2026

Completed
4 months until next milestone

Study Start

First participant enrolled

October 1, 2026

Completed
1.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2027

Last Updated

June 1, 2026

Status Verified

May 1, 2026

Enrollment Period

1.2 years

First QC Date

May 19, 2026

Last Update Submit

May 27, 2026

Conditions

Outcome Measures

Primary Outcomes (2)

  • Walking Speed

    A standardized clinical assessment used to determine short-distance walking speed over a 10-meter course. This metric evaluates the preliminary clinical efficacy of the unified control framework compared to the conventional controller in chronic stroke survivors.

    Baseline (Week 0), Post-Intervention Phase 1 (Week 4), Post-Washout / Pre-Intervention Phase 2 (Week 8), and Post-Intervention Phase 2 (Week 12).

  • Functional Mobility and Balance

    A clinical performance-based measure used to assess dynamic balance, turning agility, and functional mobility. The test measures the time (in seconds) taken for a participant to rise from a chair, walk 3 meters, turn around, walk back, and sit down.

    Baseline (Week 0), Post-Intervention Phase 1 (Week 4), Post-Washout / Pre-Intervention Phase 2 (Week 8), and Post-Intervention Phase 2 (Week 12).

Secondary Outcomes (3)

  • Acute Within-Session Changes in Spatial Gait Symmetry

    Baseline (Week 0) and weekly during the 12 training sessions across each 4-week intervention period.

  • Acute Within-Session Changes in Ground Reaction Force Symmetry

    Baseline (Week 0) and weekly during the 12 training sessions across each 4-week intervention period.

  • Acute Within-Session Changes in Joint Range of Motion

    Baseline (Week 0) and weekly during the 12 training sessions across each 4-week intervention period.

Study Arms (2)

Experimental Arm

EXPERIMENTAL

Training with the new "unified control framework" (the smart, adaptive robotic exoskeleton).

Device: Unified Control Framework for Lower-Limb Powered Orthosis

Active Comparator Arm

ACTIVE COMPARATOR

Training with a "conventional controller" (the standard robotic exoskeleton controller).

Device: Conventional Robotic Controller

Interventions

An AI-driven, machine learning-based control software integrated into a wearable lower-limb powered orthosis. The system utilizes a Bayesian Neural Network (BNN) to analyze a user's pathological walking patterns (kinematics) in real-time via onboard sensors. Based on this real-time performance, the device dynamically modulates its physical assistance along a seamless continuum. It automatically transitions between stiff corrective guidance (position-based gait training) when the user struggles, and compliant, volitional torque support (torque-based assistance) as the user's independent walking ability improves.

Experimental Arm

A standard control paradigm for lower-limb powered orthoses that provides non-adaptive physical assistance during gait training. Depending on the trial block, the device operates in one of two static modalities: either rigid position-based gait training (GT) that physically guides the patient's limbs through a fixed, predetermined trajectory regardless of effort, or torque-based volitional augmentation (VA) that proportionally amplifies existing muscle output or ground reaction forces. Unlike the experimental intervention, this controller cannot interpret kinematics in real-time or dynamically modulate assistance along a continuous spectrum based on the user's instantaneous performance.

Active Comparator Arm

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Cohort 1: Able-Bodied Participants (Initial Validation)
  • Healthy young adults.
  • No history of neurological, orthopedic, or cardiovascular impairments affecting gait or balance.
  • Able to walk independently without assistive devices.
  • Cohort 2: Stroke Survivors (Clinical Efficacy Pilot)
  • Individuals with a documented history of chronic stroke.
  • Persistent unilateral lower-limb motor impairment resulting in a pathological gait pattern (heterogeneous gait deficits).
  • Stable medical condition allowing for participation in intensive physical rehabilitation tasks.
  • Able to provide informed consent.

You may not qualify if:

  • Severe cognitive or communication impairments that prevent the participant from following safety instructions or reporting discomfort.
  • Co-existing neurological conditions (other than stroke) that independently impair locomotion (e.g., Parkinson's disease, Multiple Sclerosis).
  • Severe lower-limb joint contractures or orthopedic conditions that mechanically restrict the safe range of motion of the robotic orthosis.
  • Skin breakdowns, open wounds, or severe unhealed lesions at the contact points where the powered orthosis interfaces with the lower limbs.
  • Any medical contraindication to intensive walking exercise or treadmill training (e.g., unstable angina, severe unmanaged cardiovascular disease).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Rehabilitation Laboratory in the Ford Robotics Building on the University of Michigan North Campus

Ann Arbor, Michigan, 48109, United States

Location

MeSH Terms

Conditions

Stroke

Condition Hierarchy (Ancestors)

Cerebrovascular DisordersBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesVascular DiseasesCardiovascular Diseases

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
TREATMENT
Intervention Model
CROSSOVER
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

May 19, 2026

First Posted

June 1, 2026

Study Start

October 1, 2026

Primary Completion (Estimated)

December 31, 2027

Study Completion (Estimated)

December 31, 2027

Last Updated

June 1, 2026

Record last verified: 2026-05

Locations