Hands for dexterous manipulation and robust grasping: a difficult road toward simplicity
By Antonio Bicchi. 2000
959 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Control and Systems Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Alberto Rodriguez
- OpenAI
- Nikhil Chavan Dafle
- Juan Antonio Corrales
- Véronique Perdereau
- Zhanat Kappasov
- Raymond R. Ma
- Xiaolong Wang
In Control and Systems Engineering
- Sergey Levine
- Alberto Rodriguez
- OpenAI
- Pieter Abbeel
- Wojciech Zaremba
- Danica Kragic
- Nikhil Chavan Dafle
- Juan Antonio Corrales
Citations in the corpus
- Solving Rubik's Cube with a Robot Hand (2019, background): “Dexterous manipulation has been an active area of research for decades [32, 91, 9, 74, 64].”
- Learning dexterous in-hand manipulation (2018, background): “Dexterous manipulation has been an active area of research for decades (Bicchi, 2000; Fearing, 1986; Ma and Dollar, 2011; Okamura et al., 2000; Rus, 1999).”
- Learning Dexterous In-Hand Manipulation. (2018, background): “Dexterous manipulation has been an active area of research for decades [17, 52, 7, 42, 37].”
- Tactile sensing in dexterous robot hands - Review (2015, background): “This need can be met by re-placing grippers with multi-fi ngered dexterous robot hands that are able to grasp very di ff erent objects and even manipulate them with the use of fi ngers [1].”
- Dual arm manipulation - A survey (2012, background): “There are three main type of contact models [151] [153]: • Frictionless Point Contact is used to model cases wherein very small contact areas arise allowing the slippage between the contacted parts.”
- DexMV: Imitation Learning for Dexterous Manipulation from Human Videos (2021, background): “Manipulation with multifinger hands is one of the most challenging core robotics tasks, which has been actively studied with optimization and planning [63, 9, 46, 18, 2, 6].”
- Extrinsic dexterity: In-hand manipulation with external forces (2014, background): “Given that it relies on resources intrinsic to the hand, we refer to it as “intrinsic dexterity”.”
- On rolling contact motion by robotic fingers via prescribed performance control (2013, background): “In the last decades a variety of multi-fingered robotic hands resembling human hands have been designed and manufactured [1-3].”
- Dexterous manipulation using both palm and fingers (2014, background): “In particular, Bicchi [12] made a distinction between anthropomorphic hands to mimic the human anatomy and “minimalistic” hands to meet practical requirements, and argued for the necessity of hand dexterity.”
- Development of a high-speed multifingered hand system and its application to catching (2003, background): “In order to achieve a dexterous and skillful artificial hand, such as a human hand, various types of multifingered hands have been developed [1], [2].”