Tactile sensing for dexterous in-hand manipulation in robotics-A review

By H. Yousef, M. Boukallel, Kaspar Althoefer. 2011

814 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/3801deba5283d103a7cc2aece8e2dda60dba4b9e

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In Biomedical Engineering

In Cognitive Neuroscience

Citations in the corpus

Feedback Control of the Pusher-Slider System: A Story of Hybrid and Underactuated Contact Dynamics (2016, background): “[4, 5]), autonomous robotic manipulation rem ains far from human skill at manipulating with their hands or teleoperating robotic int erfaces.”
Manipulation by Feel: Touch-Based Control with Deep Predictive Models (2019, background): “The importance of tactile sensing has long been acknowledged in the robotics community [4], [5], [6], but exploiting touch in robots has proven exceedingly challenging for three key reasons: (i) tactile sensing technology has largely been limited to sparse pointwise force measurements, a far cry fro”
Robotic Tactile Perception of Object Properties: A Review (2017, background): “to extract these parameters, which are fundamental in the field of robot grasping and manipulation [40], and have been”
GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Finger (2018, background): “Among the many tactile sensing technologies developed in the last few decades [1], vision-based tactile sensors are a promising variant.”
Rubik's Cube Handling Using a High-Speed Multi-Fingered Hand and a High-Speed Vision System (2018, methodology): “In-hand manipulation using a tactile sensor has also been studied extensively [7].”
Electronic skins and machine learning for intelligent soft robots (2020, background): “The environmental property of interest could be lowlevel features, such as surface texture (92, 93) or temperature (94), or midlevel tasks, such as object classification (95, 96).”
Tactile sensing in dexterous robot hands - Review (2015, background): “Previous review articles have mostly concentrated in tactile hardware dealing with tactile sensing technologies for robot hands [13], for minimal invasive surgery [14], for biomedical applications [15], slip detection in hand prostheses [16], robotic tactile skins [17] and large area tactile skins…”
More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch (2018, background): “A variety of tactile sensors have been developed [13], mainly measuring force and torque, or the pressure distribution over the sensor.”
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation (2020, background): “The integration of tactile sensing for robotic manipulation has long been a research focus [8], [25].”
Learning to Manipulate Deformable Objects without Demonstrations (2019, neutral): “From grasping objects in clutter [1]–[5] to dexterous in-hand manipulation of objects [6], [7], modern robotic algorithms have transformed object manipulation.”
Flexible Capacitive Tactile Sensor Array With Truncated Pyramids as Dielectric Layer for Three-Axis Force Measurement (2015, neutral): “area application, and thus has been widely utilized in developing tactile sensor arrays [11].”
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? (2017, positive): “A range of touch sensors have been proposed in the literature [23], and they have been employed in a variety of ways to aid robotic grasping.”