SARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.
-
Updated
Apr 21, 2022 - Python
SARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.
[IROS 2023] FISS+: Efficient and Focused Trajectory Generation and Refinement using Fast Iterative Search and Sampling Strategy
A Reinforcement Learning (RL) based navigation implementation for mobile robot navigation. Q-Learning, SARSA and Deep Q-Network algorithms were compared.
ROS Package for Simultaneous Exploration and Localization for Multi-Robot Applications
A weeding robot that can autonomously navigate in the field between obstacles, identify different kinds of weeds and then spray them in a Gazebo simulation environment.
The source files accompanying our research paper titled - "A Robust Approach for Improving the Accuracy of IMU based Indoor Mobile Robot Localization".
Robot navigation in dynamic environment
This project aims to simulate a mobile robot used to transport sensible material
This project simulates a 2-link robotic manipulator following a predefined path using inverse kinematics. The manipulator is visual and is controlled to follow a straight line path. The main components of this project include the manipulator (with inverse kinematics calculations), the path generator, and the plotter.
Add a description, image, and links to the mobile-robot-navigation topic page so that developers can more easily learn about it.
To associate your repository with the mobile-robot-navigation topic, visit your repo's landing page and select "manage topics."