Planning quasi-static fingertip manipulations for reconfiguring objects

By Moëz Cherif, K. Gupta. 1999

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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 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].”
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].”
Sampling-based Planning of In-Hand Manipulation with External Pushes (2017, background): “Early work 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].”
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].”