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
Direct Sparse Odometry
[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors
A script to find and delete duplicate images using pHash.
Point cloud registration pipeline for robot localization and 3D perception
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution, together with the fast GPU inference library for sparse convolution.
[CVPR'23, Highlight] ECON: Explicit Clothed humans Optimized via Normal integration
Effective Robotics Programming with ROS
Real-time dense visual SLAM system
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
LaTeX template for a PhD thesis at ETH Zurich
Python package for the evaluation of odometry and SLAM
A collection of GICP-based fast point cloud registration algorithms
The fastai deep learning library, plus lessons and tutorials
fastPM - A N-body Particle Mesh solver that scales
Python version of FastPM
Simultaneous localization and mapping using fiducial markers.
This library provides a standardized interface for processing data as a sequence of filters. This package contains a base class upon which to build specific implementations as well as an interface which dynamically loads filters based on runtime parameters.
PX4 Autopilot Software
An Open Flexible Quadrotor Simulator
Fast LOAM (Lidar Odometry And Mapping) for solid state lidar indoor localization and mapping (Intel Realsense L515 as an example)
Create and follow a set of navigation goals for use with ROS move_base
Fast Robot Optimization and Simulation Toolkit (FROST)
Frustum PointNets for 3D Object Detection from RGB-D Data
Full coverage path planning provides a move_base_flex plugin that can plan a path that will fully cover a given area
Example code for HTML, CSS, and Javascript for Web Developers Coursera Course
Implementations of several GSL methods for ROS.