ARC-2018

Pinned Repositories

netft
Language:C++00
ObjRecRANSAC
RANSAC variant for 3D object recognition in occluded scenes.
Language:C++00
open_abb
Control ABB robots remotely
Language:C++00
openni2-camera-lcm
OpenNI2 LCM driver
Language:C++00
really-awesome-semantic-segmentation
A list of papers on Semantic Segmentation.
00
realSenseCamera_ROSAprilTags
An Intel Realsense Camera R200 implementation of April Tags in ROS
Language:C++00
reflexxes_type2
A ROS package for building reflexxes in a Catkin workspace
Language:CMake00
rgbd_calibration
RGBD Calibration
Language:C++00
rgrasp
Language:C++0 2 00
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.
Language:Python00

ARC-2018's Repositories

ARC-2018/ObjRecRANSAC
RANSAC variant for 3D object recognition in occluded scenes.
Language:C++00
ARC-2018/openni2-camera-lcm
OpenNI2 LCM driver
Language:C++00
ARC-2018/really-awesome-semantic-segmentation
A list of papers on Semantic Segmentation.
00
ARC-2018/rgbd_calibration
RGBD Calibration
Language:C++00
ARC-2018/rgrasp
Language:C++0 2 00
ARC-2018/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.
Language:Python00
ARC-2018/3D-Machine-Learning
A learning resource repository for 3D machine learning
ARC-2018/arc-robot-vision
MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Grasp Detection and Image Matching for Novel Objects with Deep Learning
Language:Lua2 0
ARC-2018/arc-robot-vision-1
MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Grasp Detection and Image Matching for Novel Objects with Deep Learning
Language:Lua
ARC-2018/awesome-grasping
A curated list of awesome grasping libraries and resources
ARC-2018/Curt-RoboND-Kinematics-Project
My Copy of the Udacity RobotND-Kinematics project
Language:Python
ARC-2018/dart-env
Openai Gym with Dart support
Language:Python
ARC-2018/director
A robotics interface and visualization framework, with extensive applications for working with http://drake.mit.edu
Language:Python
ARC-2018/DrakeVisualizer.jl
Interface to the RobotLocomotion Drake Visualizer tool from Julia
Language:Julia
ARC-2018/faster-rcnn.pytorch
Language:Python
ARC-2018/fompush
Language:C++
ARC-2018/gpd
Detect grasp poses in point clouds
Language:C++2 0
ARC-2018/gpg
Generates grasp pose candidates in point clouds
Language:C++
ARC-2018/grl
Robotics tools in C++11. Implements soft real time arm drivers for Kuka LBR iiwa plus V-REP, ROS, Constrained Optimization based planning, Hand Eye Calibration and Inverse Kinematics integration.
Language:C++
ARC-2018/hand_eye_calibration
Python tools to perform hand-eye calibration.
Language:Python
ARC-2018/IROS2016ManipulationChallenge
Language:Python
ARC-2018/LabelFusion
Language:Python
ARC-2018/libccd
Library for collision detection between two convex shapes
Language:C
ARC-2018/robotiq_three_finger_driver
LCM driver for the 3-finger Robotiq gripper.
Language:CMake
ARC-2018/rostensorflow
TensorFlow ImageNet demo using ROS sensor_msgs/Image
Language:Python
ARC-2018/sese
A 3D scene mesh annotation tool
2 0
ARC-2018/team_iitk_tcs
Language:Python
ARC-2018/v_repPlusPlus
C++ plugin framework for V-REP plugins
Language:C++
ARC-2018/visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
Language:Python
ARC-2018/wsg50-ros-pkg
Language:C++