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Worcester Polytechnic Institute, USA
- Worcester, MA
- jeelchatrola.github.io
- in/jeelchatrola
- https://scholar.google.com/citations?user=3Zoz6JUAAAAJ&hl=en&oi=ao
🤖 ROS
Builds on top of Qt to provide widgets which are useful when developing robotics applications, such as a 3D view, plots, dashboard, etc, and can be used together in a convenient unified interface.
ICRA 2023 tutorial on ROS 2 and the new Gazebo (MT28, ICC Capital Suite 14)
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
A repository to hold definitions of docker images maintained by OSRF
Real-time 3D localization using a (velodyne) 3D LIDAR
3D LIDAR Localization using NDT/GICP and pointcloud map in ROS 2 (Not SLAM)
visualize URDF/XACRO file, URDF Viewer works on Windows/MacOS/Linux
Packages for the simulation of the Summit XL, Summit XL HL and Summit-X (including X-WAM) robots
Driving a skid-steer robot in Gazebo 3D environment to chase any coloured ball with the help of hough circle transformation.
ROS Gazebo skid steering robot model for navigation with amcl
Autonomous mobile robots (2WD, 4WD, Mecanum Drive)
Autonomous ground robots (2WD, 4WD, Ackermann Steering, Mecanum Drive)
Best practices, conventions, and tricks for ROS
Simple ROS keyboard-based teleoperation node
A list of robotics companies using the Robot Operating System (ROS and ROS 2).
A curated list of awesome datasets for SLAM
Sample code for ROS2 seminar - ROS2 test framework
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
C++ API wrapper for displaying shapes and meshes in Rviz
Universal grid map library for mobile robotic mapping
A list of projects that were or will be featured in Weekly Robotics newsletter
A curated list of awesome robot descriptions (URDF, MJCF)
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-IC…
The English version of 14 lectures on visual SLAM.
Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
Real-time detection of diverse dynamic objects in complex environments.