PaolaArdon

Salt-Pepper

Robotics Project

grasp_affordance_reasoning_demo

Code for using the Grasp Affordance Reasoning dataset

pr2_kinetic_simulator

Simulator for the PR2 in ROS Kinetic and Ubuntu Xenial

robot-grasp-detection

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

assignment_dl-tuning

Assignment on fine-tuning deep Convolutional Neural Networks in Caffe

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep_grasp_demo

Deep learning for grasp detection within MoveIt.

Deep_learning_for_detectin_robotic_grasps

Code from Robot Learning Lab, Cornell in paper Deep Learning for Detecting Robotic Grasps

grasp_multiObject_multiGrasp

An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'

graspit

The GraspIt! simulator

handover_sim

hateb_local_planner

A Human-Robot Cooperative Navigation Planner

human_aware_navigation

The human_aware_navigation repository includes ROS packages to enable the planning of navigation paths that take human comfort into account

lookie-lookie

Learning to track eye movement in the browser

O-CNN

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

Pose-REN

Demo code for "Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation"

region-ensemble-network

Repository for Region Ensemble Network based Hand Pose Estimation

SAGAT

DMPs for SAGAT project

superquadric-model

Framework for modeling and visualizing objects through superquadrics

superquadrics

tutorial_dl-deployment

Tutorial on how to deploy a trained CNN in Caffe as a YARP module

VP-SIFT