Dextrous manipulation by rolling and finger gaiting
By Li Han, J. Trinkle. 1998
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
- Abhishek Gupta
- Yoshua Bengio
- Abhinav Kumar Gupta
- Trevor Darrell
- 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 [8, 22, 23, 9, 13], sliding [9, 59], finger gaiting [23], finger tracking [51], pushing [11], and re-grasping [65, 12].”
- Learning dexterous manipulation for a soft robotic hand from human demonstrations (2016, background): “There exist planners that integrate contact kinematics, non-holonomic motion constraints, and grasp stability to come up with manipulation plans based on finger gaits [5], rolling and sliding fingertip motions [6], or nonprehensile actions involving only the palm [7].”
- Learning robot in-hand manipulation with tactile features (2015, methodology): “Such approaches have been used successfully for finger gaiting [2], manipulation with a rolling contact [2–5], sliding [5], in-grasp-manipulation [6], and rolling objects over the hand palm [7].”
- Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation (2016, methodology): “In-hand manipulation has been addressed as finger gaiting with a rolling contact model and quasi-static assumption [37], [38].”
- Hands for dexterous manipulation and robust grasping: a difficult road toward simplicity (2000, background): “Exploitation of rolling with manipulative purposes has been considered, among others, by [54], [152], [55], [76].”
- 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].”
- 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.”