Coding and use of tactile signals from the fingertips in object manipulation tasks
By Roland S. Johansson, J. Flanagan. Nature Reviews Neuroscience, 2009
2,009 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/171737b8eb9ea2cbf26011905596e17c81d19634
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Sergey Levine
- Chelsea Finn
- Jan Peters
- Gerhard Neumann
- Oliver Kroemer
- Roberto Calandra
- Christian Daniel
- Dinesh Jayaraman
Citations in the corpus
- More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch (2018, background): “During this process, the feedback provided by the sense of touch is paramount, as demonstrated by human experiments [1].”
- Manipulation by Feel: Touch-Based Control with Deep Predictive Models (2019, methodology): “[1] performed this experiment, studying the impact of anesthetizing the fingertips of human subjects on their ability to perform this task.”
- The TacTip Family: Soft Optical Tactile Sensors with 3D-Printed Biomimetic Morphologies (2018, background): “When the human finger makes contact with an object or surface, deformation occurs in the epidermal layers of the skin and the change is detected and relayed by its mechanoreceptors.(1) Chorley et al.”
- Implementation of a robot-human object handover controller on a compliant underactuated hand using joint position error measurements for grip force and load force estimations (2014, background): “The ability to properly control grip force is very important in object manipulation and thus in handovers [19], [20].”
- A Review of Tactile Information: Perception and Action Through Touch (2020, neutral): “Whenweuseahammertostrikea nail[29],wecanfeelthevibrationviathemechanoreceptors ofourskin[30].”
- Biomimetic Intraneural Sensory Feedback Enhances Sensation Naturalness, Tactile Sensitivity, and Manual Dexterity in a Bidirectional Prosthesis. (2018, neutral): “, 2018; Tyler, 2015) that resemble the natural encoding strategies implemented by the nervous system (Chortos et al., 2016; Johansson and Flanagan, 2009).”