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Derek Tan's Projects

ariadne icon ariadne

ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration - Public code and model

autorob.github.io icon autorob.github.io

Course site for UM Introduction to Autonomous Robotics at the University of Michigan

bash-color icon bash-color

A node.js module for wrapping strings in color codes for pretty printing in bash.

csprag-w19-rpn icon csprag-w19-rpn

A simple setup to test the effectiveness of Continuous Integration.

dan icon dan

Public version of the decentralized, attention-based mTSP code

darknet icon darknet

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

deeplearning-for-computervision-eecs598 icon deeplearning-for-computervision-eecs598

This course is a deep dive into details of neural-network based deep learning methods for computer vision. It is offered by the University of Michigan, Ann Arbor (EECS 598).

gbplanner_ros icon gbplanner_ros

Graph-based Exploration Planner for Subterranean Environments

goros icon goros

The golang equivalent of roslibjs. Communicates with ROS over a rosbridge.

map_merger icon map_merger

Map merging node to merge multiple maps real time with rtabmap

metaworld icon metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

rex-gym icon rex-gym

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

robotics-software-engineer-udacity-nanodegree icon robotics-software-engineer-udacity-nanodegree

This repository showcases projects containing my implementations of key algorithms for localization and navigation for autonomous robots. Projects include: Localization using Particle Filter (Monte Carlo Localization), Simultaneous Localization & Mapping (RTAB-map and gmapping), and A* / RRT path planning.

ros_rtsp icon ros_rtsp

ROS node to subscribe to an image and serve it up as a RTSP video feed.

sensor-fusion-projects-udacity-nanodegree icon sensor-fusion-projects-udacity-nanodegree

This repository contains projects using LiDAR, Camera, Radar and Kalman Filters for Sensor Fusion. Since each type of sensors has their inherent strengths and limitations, it is important to investigate how they can complement each other to provide the most reliable results when attempting to determine the position and velocity of obstacles.

soft-module icon soft-module

Code for "Multi-task Reinforcement Learning with Soft Modularization"

velodyne_simulator icon velodyne_simulator

URDF description and Gazebo plugins to simulate Velodyne laser scanners - fork from BitBucket: https://bitbucket.org/DataspeedInc/velodyne_simulator

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