ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
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Updated
Oct 24, 2023 - Python
ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.
[CVPR 2023 Highlight] Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
Open-AI Gym extension for robotics based on V-REP
A repository of introductory autonomous ground vehicle (i.e., wheeled mobile robot) simulation examples in Python.
Mobile robot control in V-REP using Deep Reinforcement Learning Algorithms.
Learning human-aware robot navigation behavior from demonstrations via Maximum Entropy Inverse Reinforcement Learning.
Semantic Segmentation of Images and Point Clouds for Traversability Estimation
InEKF Localization and Semantic Mapping on the KITTI Dataset
A Deep Convolutional Neural Network Controlled Mobile Robot
Autonomous search and retrieval of samples of interest on a simulated Martian terrain
The source files accompanying our research paper titled - "A Robust Approach for Improving the Accuracy of IMU based Indoor Mobile Robot Localization".
Efficient and Robust Semantic Mapping for Indoor Environments
EMSANet: Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
A Python package to segment cluttered 2D floor plans based on down-sampling.
Co-operative robotics using environmental sensors
Code to prepare and use common datasets for scene analysis tasks
A ROS package of an accepted paper in IEEE Robotics Automation and Letters (RA-L)
Repository for all of my course materials and assignments of UTN Mobile Robotics.
Introduction to Mobile Robotics (engl.) - Autonomous Mobile Systems
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