NCT04578665

Human-like Robotic Controllers for Enhanced Motor Learning

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 764 (estimated)
• Sponsor: Shirley Ryan AbilityLab · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Accepted

Summary

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).

Detailed description

The investigators will look at how the task performance and motor performance of individuals in dyadic physical interactions are affected by 1) different behavioral interaction conditions (i.e., solo task, collaboration task, competition task, or cooperation task); 2) the haptic impedance or stiffness of the virtual connection between dyadic peers (i.e., hard connection, medium connection, or soft connection); and 3) the skill level of the other partner (i.e., novice or expert). The investigators will be using both an ankle robot (M1 device) and a bilateral lower limb exoskeleton (H3/X2 device), and will collect EMG and EEG data. For Experiment A , the investigators will recruit healthy volunteers (n = 180) to work in dyadic pairs. With the collected data, the investigators will model how humans adapt force and impedance and share roles/specialize during various dyadic interaction behaviors, and use this knowledge to develop robot controllers that mimic movement error and force adaptation for enhanced motor performance. For Experiment B , the investigators will recruit healthy volunteers (n = 260), participants post-stroke (n = 88) and participants post-SCI (n = 88) to work in dyadic pairs within each population. The investigators will test the robot controllers following the models for mechanical adaptation and role sharing strategies between peers based on Experiment A. The investigators will also monitor single-joint and multi-joint movement error and force adaptation in regards to enhanced motor performance. The investigators will assess if the robot controllers can pass a "haptic Turing Test", rendering them indistinguishable with respect to human peers. A structural MRI will be obtained to be used for EEG source analysis. For Experiment C, the investigators will showcase the robot controllers by interfacing with participants post-stroke (n = 4) and participants post-SCI (n = 4) with the single-joint and multi-joint assistive robots to observe motor learning and functional outcomes with 10 training sessions per robot.

Conditions

• Stroke
• Spinal Cord Injuries

Interventions

Type	Name	Description
BEHAVIORAL	Behavioral Interaction Conditions	The participants will be single-blinded and complete a tracking task as either: solo task, collaboration task (both participants work on a common task synchronously to achieve a goal; this is a summative effort to achieve the goal), competition task (each participant has to achieve a goal at the expense of his or her partner, therefore maximizing effort or error of the partner in reaching the goal), or cooperation task (an asymmetric partnership with an active partner and a passive partner working towards a goal).
DEVICE	Haptic Impedance Level	The subjects will complete their task at 3 impedance levels: high (a virtual stiffness 160-200 N/m and damping 0\~10 Nm/s; this will be a stiff connection in which the subjects feel like they are connected via rigid links and each subject will perceive the other partner's movement directly), medium (a virtual stiffness 100-140 N/m and damping 0\~10 Nm/s; this will be a spring like-connection in which the subjects feel like they are connected with a spring and each subject will perceive the other partner with a force that is proportional to the trajectory difference of the two participants), and soft (a virtual stiffness 40-80 N/m and damping 0\~10 Nm/s; this will be a spring like connection in which the subjects feel like they are connected with a loose spring and each subject will perceive the other partner with a force that is proportional to the trajectory difference of the two subjects, however, this force will be smaller than that of the medium impedance).
BEHAVIORAL	Skill Level of Partner	There will be two skill levels: novice (a participant who has no prior experience with the trajectory tracking experiment; in testing with the clinical populations, the investigators will assign this condition to the clinical participant) and expert (a participant who is experienced with the trajectory tracking experiment and who can achieve a tracking error \[difference of the desired trajectory and actual trajectory\] below a certain threshold; in testing with the clinical population, the investigators will assign this condition to the therapist). Participants will start experimentation paired as novice-novice, and at the end of the session may be invited to continue additional sessions to be paired as the expert in a novice-expert dyad.
DEVICE	Robot Controller Showcase	The subjects will complete 10 training sessions per assistive robot for the researchers to observe motor learning and functional outcomes.

Timeline

• Start date: 2021-07-13
• Primary completion: 2025-12-01
• Completion: 2025-12-01
• First posted: 2020-10-08
• Last updated: 2025-05-25

Locations

1 site across 1 country: United States