PyRobot is a light weight, high-level interface which provides hardware independent APIs for robotic manipulation and navigation. This repository also contains the low-level stack for LoCoBot, a low cost mobile manipulator hardware platform. Run the script to install everything (ROS, realsense driver, etc.). If you want to use real LoCoBot robot, please run the following command: Please connect the nuc machine to a realsense camera before running the following commands. Note: To install Python 3 compatible PyRobot, modify -p 2 to -p 3 in the above commands.

This repository contains the official python implementation for "A Baseline for 3D Multi-Object Tracking". However, recent works for 3D MOT tend to focus more on developing accurate systems giving less regard to computational cost and system complexity. In contrast, this work proposes a simple yet accurate real-time baseline 3D MOT system. We use an off-the-shelf 3D object detector to obtain oriented 3D bounding boxes from the LiDAR point cloud. Then, a combination of 3D Kalman filter and Hungarian algorithm is used for state estimation and data association.

BioKEEN (Biological KnowlEdge EmbeddiNgs) is a package for training and evaluating biological knowledge graph embeddings built on PyKEEN. Because we use PyKEEN as the underlying software package, implementations of 10 knowledge graph embedding models are currently available for BioKEEN. Furthermore, BioKEEN can be run in training mode in which users provide their own set of hyper-parameter values, or in hyper-parameter optimization mode to find suitable hyper-parameter values from set of user defined values. Through the integration of the Bio2BEL [2] software numerous biomedical databases are directly accessible within BioKEEN. BioKEEN can also be run without having experience in programing by using its interactive command line interface that can be started with the command "biokeen" from a terminal.