69 skills found · Page 1 of 3
facebookresearch / TactoSimulator of vision-based tactile sensors.
facebookresearch / Digit DesignDesign files for the DIGIT tactile sensor
linchangyi1 / 9DTact9DTact: A Compact Vision-Based Tactile Sensor for Accurate 3D Shape Reconstruction and Generalizable 6D Force Estimation (RAL & ICRA'24)
facebookresearch / Digit InterfacePython interface for the DIGIT tactile sensor
GeWu-Lab / AnyTouchThe repo for "AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors", ICLR 2025
raunaqbhirangi / AnyskinInterfacing Repository for the AnySkin tactile sensor
isri-aist / MujocoTactileSensorPluginPlugin to simulate tactile sensors in MuJoCo
akihikoy / FingervisionData processing programs for the vision-based tactile sensor FingerVision
vocdex / Awesome Tactile SensingImportant research papers, blogposts, repos on tactile sensing ( vision-based)
WilliamAlexanda / Open Bio SkinHi, here's Bio-Skin, an affordable tactile sensor, which can sensing normal, shear force and temeprature. Also, it is the first tactile sensor which integrate temperature regulation fucntion.
ai4ce / FusionSense[ICRA2025] Integrates the vision, touch, and common-sense information of foundational models, customized to the agent's perceptual needs.
vocdex / Digit DepthPackage for DIGIT tactile sensor
facebookresearch / Sparsh Multisensory TouchSpecialized encoders for robot manipulation. Sparsh-Skin An encoder tailored for magnetic tactile sensors to understand interactions from dexterous hands.Sparsh-X A fusion encoder that combines multiple touch data types (tactile image, audio, IMU, pressure) into a single, compact embedding, designed for advanced sensors like the Digit 360.
leo9344 / Implementation Of GelSightAn implementation of Gelsight Wedge.
hgupt3 / GsrlThis is the official codebase for the paper "Sensor-Invariant Tactile Representation" (ICLR 2025).
ualsbombe / Omission FrontiersAnalysis scripts for group analysis of MEG data in both Python and MATLAB associated with Andersen, L.M., 2018. Group Analysis in MNE-Python of Evoked Responses from a Tactile Stimulation Paradigm: A Pipeline for Reproducibility at Every Step of Processing, Going from Individual Sensor Space Representations to an across-Group Source Space Representation. Front. Neurosci. 12. https://doi.org/10.3389/fnins.2018.00006 and Andersen, L. M. Group Analysis in FieldTrip of Time-Frequency Responses: A Pipeline for Reproducibility at Every Step of Processing, Going From Individual Sensor Space Representations to an Across-Group Source Space Representation. Front. Neurosci. 12, (2018). https://10.3389/fnins.2018.00261
rpl-cmu / Shape Map 3DVisuo-tactile shape mapping with GelSight and depth camera
linchangyi1 / DTactDTact: A Vision-Based Tactile Sensor that Measures High-Resolution 3D Geometry Directly from Darkness (ICRA'23)
duyipai / GsminiA clean and high-performing interface for the GelSight Mini tactile sensor
Tacxels / MC TacOpen Source of Modular Camera-based Tactile Sensor for Robot Gripper
