Contain modules for experimenting affordance learning with the iCub
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Updated
Apr 11, 2017 - C++
Contain modules for experimenting affordance learning with the iCub
This code has been reproduced for the paper of "Teaching iCub to recognize objects using deep Convolutional Neural Networks" by Pasquale et. al.
learning task trajectories using Probabilistic Movement Primitives
Packages containing standalone demos for the iCub humanoid robot
Code for the Humanoid Robot Programming competition at the VVV18 iCub winter school.
Object modeling and grasping with superquadrics and visual-servoing
Dataset for our paper "Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach" (ICRA 2019)
Python package containing the iCub sdf model for the PyBullet simulator. Generated from:
Giovanni Saponaro, PhD thesis: Gestures and Object Affordances for Human–Robot Interaction
iCub-HRI: A coherent framework for complex HRI scenarios on the iCub
Some Code for iCub, gaze control and OpenCV based object detection
This repo contains material for the course on Robots IT infrastructure
Application for handling diagnostic messages from the RTOS boards, from yarprobotinterface and any other UDP source.
Collection of robot models compatible with gym-ignition
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