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Cited by 34Robot Manipulation and LearningReinforcement Learning in RoboticsSoft Robotics and Applications

Learning robots to grasp by demonstration

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De Coninck, Elias, Verbelen, Tim, Van Molle, Pieter, Simoens, Pieter, Dhoedt, Bart·2020·Robotics and Autonomous Systems
DOI 10.1016/j.robot.2020.103474
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  • A lightweight Franka Emika Panda cobot with seven degrees of freedom and a Realsense D435 RGB-D camera mounted on an end effector can detect various objects, regardless of their position and orientation, achieving an average success rate of more than 90% in less than 5 min of training time.

    “This robotic system can detect various objects, regardless of their position and orientation, achieving an average success rate of more than 90% in less than 5 min of training time”

    From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [35]

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Cited by

Sorted by citations

Authors
De Coninck, E., Verbelen, T., Van Molle, P., Simoens, P., & Dhoedt, B.
Affiliations
Ghent University (BE)
ORCID
Venue
Robotics and Autonomous Systems
Publisher
Elsevier BV
Published
2020-05
Volume
127
Pages
103474
ISSN
0921-8890 (ISSN-L)
DOI
10.1016/j.robot.2020.103474
OpenAlex
W3007935348
Cited by
34
References
2
Citations by year
2026: 3 · 2025: 6 · 2024: 6 · 2023: 7 · 2022: 8 · 2021: 2 · 2020: 2
FWCI
2.28
Type
journal article
Language
en
Open access
Licence
Locations
  • Robotics and Autonomous Systems (publishedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
Funders
Vlaamse regering
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
  • Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
  • Physical Sciences › Engineering › Biomedical Engineering › Soft Robotics and Applications
Keywords
robotic grasping, imitation learning, collaborative robots, visual object recognition, human-robot collaboration

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