دورية أكاديمية

A robotic shared control teleoperation method based on learning from demonstrations

التفاصيل البيبلوغرافية
العنوان: A robotic shared control teleoperation method based on learning from demonstrations
المؤلفون: Bao Xi, Shuo Wang, Xuemei Ye, Yinghao Cai, Tao Lu, Rui Wang
المصدر: International Journal of Advanced Robotic Systems, Vol 16 (2019)
بيانات النشر: SAGE Publishing, 2019.
سنة النشر: 2019
المجموعة: LCC:Electronics
LCC:Electronic computers. Computer science
مصطلحات موضوعية: Electronics, TK7800-8360, Electronic computers. Computer science, QA75.5-76.95
الوصف: In teleoperation, the operator is often required to command the motion of the remote robot and monitor its behavior. However, such an interaction demands a heavy workload from a human operator when facing with complex tasks and dynamic environments. In this article, we propose a shared control method to assist the operator in the manipulation tasks to reduce the workload and improve the efficiency. We adopt a task-parameterized hidden semi-Markov model to learn a manipulation skill from several human demonstrations. We utilize the learned model to predict the manipulation target given the current observed robotic motion trajectory and subsequently estimate the desired robotic motion given the current input of the operator. The estimated robotic motion is then utilized to correct the input of the operator to provide manipulation assistance. In addition, a set of virtual reality devices are used to capture the operator’s motion and display the vision feedback from the remote site. We evaluate our approach through two manipulation tasks with a dual-arm robot. The experimental results show the effectiveness of the proposed method.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1729-8814
17298814
Relation: https://doaj.org/toc/1729-8814
DOI: 10.1177/1729881419857428
URL الوصول: https://doaj.org/article/76ecf0f0692a4145b1b873fac451d531
رقم الأكسشن: edsdoj.76ecf0f0692a4145b1b873fac451d531
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17298814
DOI:10.1177/1729881419857428