Improved GelSight Tactile Sensor for Measuring Geometry and Slip
arXiv:1708.00922 · doi:10.1109/IROS.2017.8202149
Abstract
A GelSight sensor uses an elastomeric slab covered with a reflective membrane to measure tactile signals. It measures the 3D geometry and contact force information with high spacial resolution, and successfully helped many challenging robot tasks. A previous sensor, based on a semi-specular membrane, produces high resolution but with limited geometry accuracy. In this paper, we describe a new design of GelSight for robot gripper, using a Lambertian membrane and new illumination system, which gives greatly improved geometric accuracy while retaining the compact size. We demonstrate its use in measuring surface normals and reconstructing height maps using photometric stereo. We also use it for the task of slip detection, using a combination of information about relative motions on the membrane surface and the shear distortions. Using a robotic arm and a set of 37 everyday objects with varied properties, we find that the sensor can detect translational and rotational slip in general cases, and can be used to improve the stability of the grasp.
IEEE/RSJ International Conference on Intelligent Robots and Systems
References in corpus (1)
Cited by in corpus (9)
- When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors from the Signal Processing Perspective
- Neuromorphic Event-Based Slip Detection and suppression in Robotic Grasping and Manipulation
- GelBelt: A Vision-based Tactile Sensor for Continuous Sensing of Large Surfaces
- Tac2Structure: Object Surface Reconstruction Only through Multi Times Touch
- Incipient Slip-Based Rotation Measurement via Visuotactile Sensing During In-Hand Object Pivoting
- Learned Slip-Detection-Severity Framework using Tactile Deformation Field Feedback for Robotic Manipulation
- A Modularized Design Approach for GelSight Family of Vision-based Tactile Sensors
- Vision and Tactile Robotic System to Grasp Litter in Outdoor Environments
- SimTac: A Physics-Based Simulator for Vision-Based Tactile Sensing with Biomorphic Structures