Skip to content

Evaluation of Robotic Teleoperation Support Technology Using Machine Learning

Evaluation of Robotic Teleoperation Support Technology Using Machine Learning

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
DRKS
Registry ID
DRKS00032312
Enrollment
10
Registered
2023-07-21
Start date
2024-02-02
Completion date
Unknown
Last updated
2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Basic research on telerobotic assistive systems

Interventions

Group 1: Healthy volunteers test out two different methods for robotic teleoperation.

Sponsors

Institut für Kognitive Systeme
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 60 Years

Inclusion criteria

Inclusion criteria: No further inclusion criteria

Exclusion criteria

Exclusion criteria: - risk factors (such as malaise, pain) addressed by the subject on the day of the test, - motor impairment due to current or previous injuries or diseases that significantly affect the study, such as tendon or ligament injuries - psychological disorders that affect sense of agency such as schizophrenia - use of hand prostheses - severe psychiatric comorbidity such as epilepsy

Design outcomes

Primary

MeasureTime frame
Measurements of the time required by subjects to perform the tasks using the different teleoperation methods, as well as errors in motion control.

Secondary

MeasureTime frame
As a secondary outcome, we will investigate embodiment of teleoperation and usability with questionnaires.

Countries

Germany

Contacts

Public ContactConstantin Uhde

Institut für Kognitive Systeme

c.uhde@tum.de+49 89 289 26799

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026