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Name: JHU Laboratory for Computational Sensing and Robotics

Type: Organization

Bio: Original code developed by members of the Johns Hopkins University Laboratory for Computational Sensing and Robotics

Location: Baltimore, MD, USA

Blog: https://www.lcsr.jhu.edu

JHU Laboratory for Computational Sensing and Robotics's Projects

aruco_hand_eye

Hand-eye calibration integration using aruco_ros and VISP

ascent_mk2_hri2016

This repository contains the code associated with the "Semi-Autonomous Telerobotic Assembly over High-Latency Networks" HRI2016 publication.

barrett_model

Barrett WAM & BHand-280 CAD and modular URDFs with inertial properties.

barrett_moveit

MoveIt! configuration and tools for the Barrett WAM Robot

cartesian_trajectory_msgs

ROS Packages for representing Cartesian Trajectories

costar_instructor

User interface for behavior tree based authoring of robot task plans.

costar_objects

CoSTAR Project key object models, gazebo kinect simulation and object definitions

costar_plan

Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.

costar_stack

Integrated ROS capabilities for planning, predicate inference, gripper control, and perception for use with the KUKA LBR IIWA and Universal Robots.

good_robot

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

greedy_objrec_ransac

Use TUM MVP object RANSAC to find object poses in a pointcloud.

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.