ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

[CVPR 2023 Highlight 💡] Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision

Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.

Semantic Segmentation of Images and Point Clouds for Traversability Estimation

A repository of introductory autonomous ground vehicle (i.e., wheeled mobile robot) simulation examples in Python.

EMSANet: Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments

A Python package to segment cluttered 2D floor plans based on down-sampling.

Learning human-aware robot navigation behavior from demonstrations via Maximum Entropy Inverse Reinforcement Learning.

Open-AI Gym extension for robotics based on V-REP

Efficient and Robust Semantic Mapping for Indoor Environments

Mobile robot control in V-REP using Deep Reinforcement Learning Algorithms.

Autonomous search and retrieval of samples of interest on a simulated Martian terrain

Mobile robots playground

Code to prepare and use common datasets for scene analysis tasks

InEKF Localization and Semantic Mapping on the KITTI Dataset

Alfred is an open-source UGV platform built at IIIT-Delhi capable of emulating a full self-driving vehicle. Alfred is equipped with Intel NUC 12 Pro, NVIDIA AGX Orin, Intel Realsense D455, and Velodyne VLP-16 LiDAR, facilitating comprehensive evaluations and development state-of-the-art algorithms for mobile robotics.

Developed and implemented 2D and 3D Pose Graph SLAM using the GTSAM library and Gauss Newton Solver on the Intel and Parking Garage g2o datasets respectively

Implementation of Least Squares Graph Optimization algorithm for graph-based SLAM.

Introduction to Mobile Robotics (engl.) - Autonomous Mobile Systems

A ROS package of an accepted paper in IEEE Robotics Automation and Letters (RA-L)