Dynamic in-hand sliding manipulation
By Jian Shi, James Zachary Woodruff, P. Umbanhowar, Kevin M. Lynch. 2015
140 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
- Nikhil Chavan Dafle
- OpenAI
- Danica Kragic
- Wojciech Zaremba
- Marcin Andrychowicz
- Bob McGrew
- Aude Gemma Billard
In Control and Systems Engineering
- Sergey Levine
- Pieter Abbeel
- OpenAI
- Alberto Rodriguez
- Danica Kragic
- Wojciech Zaremba
- Nikhil Chavan Dafle
- Aude Gemma Billard
Citations in the corpus
- Solving Rubik's Cube with a Robot Hand (2019, background): “This includes rolling [10, 41, 42, 15, 26], sliding [15, 100], finger gaiting [42], finger tracking [90], pushing [24], and re-grasping [109, 25].”
- Learning dexterous in-hand manipulation (2018, background): “, 1997; Han and Trinkle, 1998), sliding (Cherif and Gupta, 1999; Shi et al., 2017), finger gaiting (Han and Trinkle, 1998), finger tracking (Rus, 1992), pushing (Dafle and Rodriguez, 2017), and re-grasping (Dafle et al.”
- Learning Dexterous In-Hand Manipulation. (2018, background): “This includes rolling [8, 22, 23, 9, 13], sliding [9, 59], finger gaiting [23], finger tracking [51], pushing [11], and re-grasping [65, 12].”
- Sampling-based Planning of In-Hand Manipulation with External Pushes (2017, background): “int contact interactions modelled with polyhedral friction cones or patch contacts modelled as soft point contacts to alleviate the computational complexity of contact modeling [7, 21, 16]. Shi et al [19], Vina B et al [23]˜ and Hou et al [8] demonstrate application of such approach to in-hand manip”
- Stable Prehensile Pushing: In-Hand Manipulation with Alternating Sticking Contacts (2017, background): “It is also common to assume that pressure distribution at fingers will be uniform for these manipulations [11].”
- Trends and challenges in robot manipulation (2019, background): “They are also capable of performing a variety of simple manipulation actions such as throwing (58), sliding (59), poking (60), pivoting (61), and pushing (62).”
- A Review of Tactile Information: Perception and Action Through Touch (2020, unknown): “Thecontrollershavebeenperformedwitheithermultifingered robothands[24],[194],[198],[237]–[240]orgrippers[241]– [243].”
- On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation (2018, background): “Many works, such as [9]–[12], use motion planning and control techniques to carry out dexterous manipulation tasks.”