Literature DB >> 31221831

Trends and challenges in robot manipulation.

Aude Billard1, Danica Kragic2.   

Abstract

Dexterous manipulation is one of the primary goals in robotics. Robots with this capability could sort and package objects, chop vegetables, and fold clothes. As robots come to work side by side with humans, they must also become human-aware. Over the past decade, research has made strides toward these goals. Progress has come from advances in visual and haptic perception and in mechanics in the form of soft actuators that offer a natural compliance. Most notably, immense progress in machine learning has been leveraged to encapsulate models of uncertainty and to support improvements in adaptive and robust control. Open questions remain in terms of how to enable robots to deal with the most unpredictable agent of all, the human.
Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Mesh:

Year:  2019        PMID: 31221831     DOI: 10.1126/science.aat8414

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  24 in total

1.  The ultrafast snap of a finger is mediated by skin friction.

Authors:  Raghav Acharya; Elio J Challita; Mark Ilton; M Saad Bhamla
Journal:  J R Soc Interface       Date:  2021-11-17       Impact factor: 4.118

2.  Human Grasp Mechanism Understanding, Human-Inspired Grasp Control and Robotic Grasping Planning for Agricultural Robots.

Authors:  Wei Zheng; Ning Guo; Baohua Zhang; Jun Zhou; Guangzhao Tian; Yingjun Xiong
Journal:  Sensors (Basel)       Date:  2022-07-13       Impact factor: 3.847

3.  Shared Control of Bimanual Robotic Limbs With a Brain-Machine Interface for Self-Feeding.

Authors:  David A Handelman; Luke E Osborn; Tessy M Thomas; Andrew R Badger; Margaret Thompson; Robert W Nickl; Manuel A Anaya; Jared M Wormley; Gabriela L Cantarero; David McMullen; Nathan E Crone; Brock Wester; Pablo A Celnik; Matthew S Fifer; Francesco V Tenore
Journal:  Front Neurorobot       Date:  2022-06-28       Impact factor: 3.493

4.  Non-von Neumann multi-input spike signal processing enabled by an artificial synaptic multiplexer.

Authors:  Dong Hae Ho; Dong Gue Roe; Yoon Young Choi; Seongchan Kim; Young Jin Choi; Do Hwan Kim; Sae Byeok Jo; Jeong Ho Cho
Journal:  Sci Adv       Date:  2022-06-22       Impact factor: 14.957

5.  Tele-Operated Oropharyngeal Swab (TOOS) Robot Enabled by TSS Soft Hand for Safe and Effective Sampling.

Authors:  Wei Chen; Jianshu Zhou; Shing Shin Cheng; Yiang Lu; Fangxun Zhong; Yuan Gao; Yaqing Wang; Lingbin Xue; Michael C F Tong; Yun-Hui Liu
Journal:  IEEE Trans Med Robot Bionics       Date:  2021-10-27

Review 6.  The neural mechanisms of manual dexterity.

Authors:  Anton R Sobinov; Sliman J Bensmaia
Journal:  Nat Rev Neurosci       Date:  2021-10-28       Impact factor: 38.755

Review 7.  Dexterous Manipulation for Multi-Fingered Robotic Hands With Reinforcement Learning: A Review.

Authors:  Chunmiao Yu; Peng Wang
Journal:  Front Neurorobot       Date:  2022-04-25       Impact factor: 3.493

8.  Object manipulation without hands.

Authors:  Shoko Sugasawa; Barbara Webb; Susan D Healy
Journal:  Proc Biol Sci       Date:  2021-03-17       Impact factor: 5.349

9.  Hybrid Imitation Learning Framework for Robotic Manipulation Tasks.

Authors:  Eunjin Jung; Incheol Kim
Journal:  Sensors (Basel)       Date:  2021-05-13       Impact factor: 3.576

Review 10.  Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning.

Authors:  Haonan Duan; Peng Wang; Yayu Huang; Guangyun Xu; Wei Wei; Xiaofei Shen
Journal:  Front Neurorobot       Date:  2021-06-09       Impact factor: 2.650

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