Rotary object dexterous manipulation in hand: a feedback-based method
By Qiang Li, M. Meier, R. Haschke, Helge J. Ritter, B. Bolder. 2013
13 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Control and Systems Engineering, Mechanical 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
- Sergey Levine
- Pieter Abbeel
- Abhishek Gupta
- Gerhard Neumann
- Vikash Kumar
- Wojciech Zaremba
- Jan Peters
- Herke Van Hoof
In Control and Systems Engineering
- Sergey Levine
- Pieter Abbeel
- Abhishek Gupta
- Chelsea Finn
- Vikash Kumar
- Gerhard Neumann
- Jan Peters
- Wojciech Zaremba
In Mechanical Engineering
- Sergey Levine
- Pieter Abbeel
- Abhishek Gupta
- Jan Peters
- Tucker Hermans
- Clemens Eppner
- Joshua Tobin
- Glenn Powell
Citations in the corpus
- Solving Rubik's Cube with a Robot Hand (2019, neutral): “tactile sensing [104, 59, 60, 61].”
- Learning dexterous in-hand manipulation (2018, background): “12 Other approaches take a closed-loop approach to dexterous manipulation and incorporate sensor feedback during execution, e.g. tactile sensing [60, 34, 35, 36].”
- Learning dexterous manipulation for a soft robotic hand from human demonstrations (2016, methodology): “Apart from purely planning-based methods, reactive control methods [10], [11] have been proposed.”
- Learning robot in-hand manipulation with tactile features (2015, methodology): “A similar method is used in [17] for local control, augmented by a finger gaiting strategy for larger movements.”
- Learning Dexterous In-Hand Manipulation. (2018, unknown): “tactile sensing [60, 34, 35, 36].”
- A Review of Tactile Information: Perception and Action Through Touch (2020, unknown): “For this computation, contact-levelinformation[26],[88],[97],object-levelinformation[115], [123],[134],[135],orrawtactilesignals[27],[152]arerequired.”