Repository for the paper "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues"
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Updated
Apr 13, 2020 - Python
Repository for the paper "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues"
A study on deep learning methods to identify precise boundaries for robot navigation
A ROS toolkit for waypoints generation for robot navigation
Mobile Robot Planner with Low-cost Cameras Using Deep Reinforcement Learning
Project 1 of Udacity's Deep Reinforcement Learning Nanodegree Program
vision-based robot control
A goal-driven autonomous exploration through deep reinforcement learning (ICRA 2022) system that combines reactive and planned robot navigation in unknown environments
Trust-Driven, Human-Guided Robot Wayfinding using Deep RL
Adaptive Risk Tendency Implicit Quantile Network for Drone Navigation under Partial Observability.
Simple differential drive robot for indoor environments simulated using ROS and Gazebo.
In this project, we described a system which allows robot to navigate through the environment in order to reach its goal. This system design is based on action server and action client communication via a ‘ROS Action Protocol’.
A Reinforcement Learning (RL) based navigation implementation for mobile robot navigation. Q-Learning, SARSA and Deep Q-Network algorithms were compared.
This repository contains the source code for our paper: "Feedback-efficient Active Preference Learning for Socially Aware Robot Navigation", accepted to IROS-2022. For more details, please refer to our project website at https://sites.google.com/view/san-fapl.
Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.
Robot Navigation Tutorials for Move Base Flex (MBF)
Optimal Path Planning in obstacle loaded map using Dijkstra
A ROS node implemented in Python that performs LiDAR-based workbench approach for an Industrial Mobile Robot.
A LiDAR laser scan noise filtering node in ROS (Robot Operating System).
This ROS package, ros_conversation_centroid, is designed to detect and track humans in a scene using computer vision techniques.
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