Assisted teleoperation in changing environments with a mixture of virtual guides-Reference-Cited by-同舟云学术

Assisted teleoperation in changing environments with a mixture of virtual guides

Published:2020-07-08 Issue:18 Volume:34 Page:1157-1170
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Ewerton Marco¹²^ORCID,Arenz Oleg¹,Peters Jan¹³^ORCID

Affiliation:

1. Intelligent Autonomous Systems Group, Department of Computer Science, Technische Universität Darmstadt, Darmstadt, Germany

2. Perception and Activity Understanding Group / Robot Learning and Interaction Group, Idiap Research Institute, Martigny, Switzerland

3. Max Planck Institute for Intelligent Systems, Tübingen, Germany

Funder

Horizon 2020

Horizon 2020 Framework Programme

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/01691864.2020.1785326

Reference21 articles.

1. How do you decommission a nuclear installation? Call in the robots

2. Learning from demonstration for semi-autonomous teleoperation

3. Abi-Farraj F, Pacchierotti C, Arenz O, et al. A haptic shared-control architecture for guided multi-target robotic grasping. IEEE Transactions on Haptics (ToH). 2019.

4. Assisting Movement Training and Execution With Visual and Haptic Feedback

5. Paraschos A, Daniel C, Peters J, et al. Probabilistic movement primitives. Advances in Neural Information Processing Systems (NIPS). 2013. p. 2616–2624.

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