Home service robot - pick up and drop off
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Updated
Nov 22, 2021 - C++
Home service robot - pick up and drop off
Opensource Platform for Autonomous Navigation Systems
The third assignment of "Research Track 1" is the final assignment of the course.
Used Turtlebot to build a map utilizing a gmapping-slam pkg, then utilize a Navigation stack to localize the robot in the environment.
Autonomous Navigation with TurtleBot3 WafflePi using SLAM
ROS implementation of the iRobot Create 2
An implementation of robot wall-following, mapping and obstacle avoidance algorithms in ros.
Gmapping and Autonomous Navigation of an Agricultural Robot
An industrial mobile manipulator robot can move autonomously in an environment through a known map using gmapping SLAM
Turtlebot driven indoor pick up and place robot based on Adaptive Monte Carlo Localization and Gmapping algorithms.
Robot Operating System (ROS) source code for a mobile robot that can carry out navigation and path planning
ROS navigation stack for a two-wheeled robot, enabling autonomous navigation using SLAM techniques
ROS Simultaneous Localization and Mapping (SLAM) using movebase, gmapping and amcl.
URDF-M2WR-ROBOT+NEW-WORLD+OBSTACLE-AVOIDANCE+GMAPPING-SLAM
Udacity Robotics Home Service Robot Project
Picking up virtual objects, then dropping them off at a target location
Slam Bot is a basic Differential Drive robot. On which Gmapping SLAM(Simeltaneous Localization and Mapping) has been implemented. This can be used as an introduction to SLAM using ROS
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