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Robotics Research Centre, IIIT Hyderabad
- India
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19:56
(UTC +05:30) - tejasps28.github.io
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rcl_logging_syslog is alternative logging backend implementation that can be used for ROS 2 application via rcl_logging_interface.
A time traveling resource monitor for modern Linux systems
Robust, reproducible LiDAR–camera extrinsic calibration pipelines (checkerboard & AprilTag), validation tooling (reprojection & point-to-pixel alignment), and utilities for saving/consuming [R|t] /…
Source code for the article "GroundLoc: Efficient Large-Scale Outdoor LiDAR-Only Localization"
Statistical Uncertainty Learning for Robust Visual-Inertial State Estimation
Probabilistic Kernel Optimization for Robust State Estimation
rclcppyy, how to use cppyy to call C++ ROS2 code without writing bindings
MCP server that provides tools and resources to control and monitor robots using Nav2.
Nav2 plugin for Dynamic Window Pure Pursuit
Compile-time safe C++ library for accurate coordinate transformations and navigation in mobile robotics.
Connect AI models like Claude & GPT with robots using MCP and ROS.
A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling
[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
A ROS 2 tool for exporting bags to human readable files. Supports pluggable export routines to handle any message type.
Make your calibration dreams come true. ros2_calib is a Multi-Sensor Calibration Tool using ROS2 mcap recordings with direct URDF export.
A better replacement for the ROS2 launch system: intuitive, simple, memorable.
A rolling voxel grid implementation of Bonxai to handle large maps in ROS 2
A Handy Extrinsic Calibration Tool for LiDAR-camera Systems.
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…
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Lightweight LiDAR-Inertial SLAM system for ROS 2. A minimal, dependency-free implementation for research and education.
A curated list of development tools, datasets, pipelines, and benchmarks to serve as a future reference for the research community
CUDA implementation of Patchwork Ground Segmentation Filter
Fast-paced lectures to familiarize new entrants to the lab with key areas in robotics — perception, navigation, control, and learning.