Enabling Robot Manipulation of Soft and Rigid Objects with Vision-based Tactile Sensors
Author:
Affiliation:
1. KTH Royal Institute of Technology,Stockholm,Sweden
2. Roma Tre University,Rome,Italy
Funder
Swedish Research Council
Knut and Alice Wallenberg Foundation
European Research Council
European Commission
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10260321/10260291/10260563.pdf?arnumber=10260563
Reference29 articles.
1. GelSlim 3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Finger
2. GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Finger
3. Tactile object pose estimation from the first touch with geometric contact rendering;villalonga;Conference on Robot Learning,2021
4. Dense Tactile Force Estimation using GelSlim and inverse FEM
5. GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Finger
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1. CAPGrasp: An $\mathbb {R}^{3}\times \text{SO(2)-Equivariant}$ Continuous Approach-Constrained Generative Grasp Sampler;IEEE Robotics and Automation Letters;2024-04
2. Inter-finger Small Object Manipulation With DenseTact Optical Tactile Sensor;IEEE Robotics and Automation Letters;2024-01
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