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Robot Grasping and Manipulation: A Prospective

arXiv 2303.07807 ↗First posted 14 Mar 2023cs.RO cs.AIcited by 0

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Abstract (arXiv)

``A simple handshake would give them away''. This is how Anthony Hopkins' fictional character, Dr Robert Ford, summarises a particular flaw of the 2016 science-fiction Westworld's hosts. In the storyline, Westworld is a futuristic theme park and the hosts are autonomous robots engineered to be indistinguishable from the human guests, except for their hands that have not been perfected yet. In another classic science-fiction saga, scientists unlock the secrets of full synthetic intelligence, Skynet, by reverse engineering a futuristic hand. In both storylines, reality inspires fiction on one crucial point: designing hands and reproducing robust and reliable manipulation actions is one of the biggest challenges in robotics. Solving this problem would lead us to a new, improved era of autonomy. A century ago, the third industrial revolution brought robots into the assembly lines, changing our way of working forever. The next revolution has already started by bringing us artificial intelligence (AI) assistants, enhancing our quality of life in our jobs and everyday lives--even combating worldwide pandemics.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 26 references that are in the map. First posted on arXiv 14 Mar 2023.

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12 of 26 references.

References · 12

  1. 2013Data-Driven Grasp Synthesis - A Surveycited by 104
  2. 2019Let's Push Things Forward: A Survey on Robot Pushingcited by 13
  3. 2021Research Challenges and Progress in Robotic Grasping and Manipulation Competitionscited by 9
  4. 2019Hypothesis-based Belief Planning for Dexterous Graspingcited by 4
  5. 2022Underwater Object Classification and Detection: first results and open challengescited by 4
  6. 2019Metrics and Benchmarks for Remote Shared Controllers in Industrial Applicationscited by 2
  7. 2019Generative grasp synthesis from demonstration using parametric mixturescited by 2
  8. 2019Automatic Detection of Myocontrol Failures Based upon Situational Context Informationcited by 2
  9. 2020Learning Transferable Push Manipulation Skills in Novel Contextscited by 2
  10. 2022One-shot Learning for Autonomous Aerial Manipulationcited by 2
  11. 20192D Linear Time-Variant Controller for Human's Intention Detection for Reach-to-Grasp Trajectories in Novel Scenescited by 1
  12. 2019Multisensory Learning Framework for Robot Drummingcited by 1

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