A proposal for Hand gesture control applied to the KUKA youBot using motion tracker sensors and machine learning algorithms
Author:
Affiliation:
1. Universidad Técnica de Ambato,Facultad de Ingeniería en Sistemas, Electrónica e Industrial,Ambato,Ecuador
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9819948/9819977/09820218.pdf?arnumber=9820218
Reference23 articles.
1. On the role of wearable haptics for force feedback in teleimpedance control for dual-arm robotic teleoperation
2. Reconocimiento de Gestos de la Mano en Tiempo Real Usando Leap Motion Controller y Machine Learning;nogales,2019
3. Survey of imitation learning for robotic manipulation
4. Human–robot interaction in industrial collaborative robotics: a literature review of the decade 2008–2017
5. Hand gesture recognition with jointly calibrated Leap Motion and depth sensor
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1. Vision-based mobile robotic arm object gripping and handling;AIP Conference Proceedings;2024
2. Revitalizing KUKA youBot project for Research and Educational purposes: Architecture of a new C++ driver;2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI);2023-05-23
3. Mid-Air Gesture Based Multi-Finger Control System For Paralyzed Patients Using Leap Motion;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23
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