Dexterous manipulation through rolling
By Antonio Bicchi, R. Sorrentino. 1995
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sergey Levine
- Pieter Abbeel
- Chelsea Finn
- Yoshua Bengio
- Marcin Andrychowicz
- Abhinav Kumar Gupta
- OpenAI
- Kristen Grauman
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): “This includes rolling (Bicchi and Sorrentino, 1995; Cherif and Gupta, 1999; Doulgeri and Droukas, 2013; Han et al., 1997; Han and Trinkle, 1998), sliding (Cherif and Gupta, 1999; Shi et al.”
- Learning robot in-hand manipulation with tactile features (2015, methodology): “These models are used by planning, control and optimization methods to manipulate known objects [2–8].”
- On dexterity and dexterous manipulation (2011, methodology): “The most well-known may be the turntable-based manipulator analyzed by both Bicchi [18] and Nagata [30].”
- Planning quasi-static fingertip manipulations for reconfiguring objects (1999, background): “and planning [2], [16], [22] or addressed the partition of the search spaces into specific regions where optimal control may be applied for planning [44].”
- Extrinsic dexterity: In-hand manipulation with external forces (2014, background): “Subsequent work relaxed those assumptions to include rolling [13, 14], sliding [15], finger gaiting [16, 17, 18, 19, 20, 21], and global controllability of object orientation [22, 23].”
- Hands for dexterous manipulation and robust grasping: a difficult road toward simplicity (2000, background): “Withsuchwork as a motivation, [13] investigated the possibility of building dex-”
- Sampling-based Planning of In-Hand Manipulation with External Pushes (2017, background): “ on dexterous manipulation focused on providing a gripper with enough degrees of freedom to give full controllability over a grasped object and further allowing finger contacts to either roll or slide [18, 22, 10, 1, 17, 5]. It assumed the intrinsic capability of the gripper to control these interact”
- 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].”
- Dexterous manipulation using both palm and fingers (2014, background): “A wide range of manipulation strategies, such as finger gaiting [5], finger pivoting [6], rolling/sliding [7]–[10], and regrasping [11], have been proposed for achieving different dexterous tasks.”
- An Exploration of Nonprehensile Two-Palm Manipulation (1998, background): “Bicchi and colleagues analyzed the kinematics and manipulability of pairs of cooperating robots that manipulate objects with flat palm-like surfaces [Bicchi, Melchiorri, and Balluchi 1995], [Bicchi and Sorrentino 1995].”