7 Posts

touch

Octopi: Object Property Reasoning with Large Tactile-Language Models

We introduce PhysiCLeaR, an annotated dataset of everyday objects and tactile readings collected from a Gelsight Mini sensor, as well as Octopi, a system that leverages both tactile representation learning and large vision-language models to perform physical reasoning and inference, given tactile videos of multiple objects.

Tasbolat and team win IROS 2021 Best Paper Award.

We have won the Best Paper Award at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021 in October. IROS is a premier flagshi...

Extended Tactile Perception

We show that robots can extend their perception through grasped tools/objects via dynamic tactile sensing.

Event-Driven Visual-Tactile Sensing and Learning

Accurate, Fast, and Low-powered Multi-Sensory Perception via Neuromorphic Sensing and Learning

TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition

We propose a Spiking Graph Neural Network to take into account taxel geometry.

Fast texture classification using tactile neural coding and spiking neural network

We show that robots achieve fast classification of textures through Neural Encoding and Spiking Neural Network.

Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach

We show that iCub robot classifies the surface textures with both sliding and touch movements under loose constraints with high accuracy.