Humanoid Multimodal Tactile-Sensing Modules

By Philipp Mittendorfer, Gordon Cheng. IEEE Transactions on robotics, 2011

309 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/212698ebbde994f9ebcab42ac27d871eec078796

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

1. Shan Luo
2. Hongbin Liu
3. João Bimbo
4. Dana Hughes
5. Nikolaus Correll
6. Ravinder S. Dahiya

In Cognitive Neuroscience

1. Shan Luo
2. Dana Hughes
3. Hongbin Liu
4. Nikolaus Correll
5. Ravinder S. Dahiya
6. João Bimbo

In Human-Computer Interaction

1. Dana Hughes
2. Nikolaus Correll

Citations in the corpus

• Tactile sensing in dexterous robot hands - Review (2015, unknown): “Unlike the capacitive technology based iCub skin which can only sense applied pressure, HEX-O-SKIN measures temperature, vibrations and light touch [121].”
• Materials that couple sensing, actuation, computation, and communication (2015, methodology): “More recently, Hex-o-Skin [103] was applied to the chest and back of a NAO robot for identifying nine touch modalities [66].”
• Robotics and Autonomous Systems (2014, unknown): “Here, other sensory modalities such as joint (torque/ force) sensors [74,149,208], inertial sensors [149], accelerometers [151,153,154,209], vision [72,159] and even hearing could provide additional information about the interaction with a human.”
• Robotic Tactile Perception of Object Properties: A Review (2017, background): “Some researchers have developed this kind of tactile sensors for hands [28], arms and legs [29], [30], front and back parts [31] of humanoid robots.”