Name: Arghya Chatterjee
Type: User
Company: PhD candidate in Robotics & AI at UWF
Bio: Humanoid & Legged Robotics Perception, Planning and Autonomy Researcher | Multi-Robot Autonomy Researcher | Space Robotics Researcher
Twitter: Arghyajony
Location: Florida, USA
Blog: https://arghyachatterjee.github.io/
Arghya Chatterjee's Projects
Microsoft Kinect Xbox one is a 3D camera which is widely used for robotics application. In this work, it is demonstrated how to wrap it up with ROS Melodic in Ubuntu 18.04.
r/SpaceX launch thread interface, used on every mission since KoreaSat 5A
Mission Planner Ground Control Station (c# .net)
Unity Machine Learning Agents Toolkit
mmPose: Human Skeletal Pose Estimation using mmWave Radars
TUM Roborace Team Software Stack - Path tracking control, velocity control, curvature control and state estimation.
Models and examples built with TensorFlow
A Modular Optimization framework for Localization and mApping (MOLA)
Python ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"
Dataset and codes of paper "Growing status observation for individual oil palm trees using Unmanned Aerial Vehicle (UAV) images"
A ROS wrapper to the mrfmap library.
MuSHR: Multi-agent System for non-Holonomic Racing
My configuration for tmux, vim, and zsh
Your own autonomous drone in ROS.
Forked from Vins-Fusion: https://github.com/HKUST-Aerial-Robotics/Vins-Fusion
These are install scripts and commands to help install openCV 4.1 on the jetson nano with contrib library. This will also install the extras you need for features like facial recognition.
Multi-threaded and SSE friendly NDT algorithm
An AMCL-alternative for Indoor mobile robot navigation
ROS driver for NovAtel GPS / GNSS receivers
NS-RobotArm V1 based on ROS1 Noetic
The devkit of the nuScenes dataset.
Pointcloud extraction using the OAK-D OpenCV AI camera with ROS
YOLO & RCNN Object Detection and Multi-Object Tracking
This repository contains code for object detection and location tracking in ROS with realsense d435 camera.