Multi-robot control simulation environmrnt build on top on Mobile Robotics Simulation Toolbox, implemented 1)some algorithm for formation control 2)mapping, localization and SLAM based on Kalman filter..
TortoiseBot is an extremely learner-friendly and cost-efficient ROS-based Open-sourced Mobile Robot that is capable of doing Teleoperation, Manual as well as Autonomous Mapping, Navigation, Simulation, etc.
Codebase for the 'BestMan' Mobile Manipulator
d.ASH - Digital Autonomy Services Hub, a High Performance Robot Autonomy Stack for remote operational requirements
2D/ 3D object detection, segmentation, depth estimation for self-driving car
it's about making indoor mapping using visual SLAM with Stereo Camera using Rtabmap package and ROS2 then making a web application to be able to control my robot remotely by two ways:- first to control it by remote control and the other method is autonomously by setting a goal on map and robot goes to it with visualizing the feedback of the plan…
Implement SLAM, a robust method for tracking an object over time and mapping out its surrounding environment using elements of probability, motion models, linear algerbra.
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Implementing SLAM, a robust method for tracking an object over time and mapping out its surrounding, using elements of probability, motion models, and linear algebra.
Landmark Detection and Tracking (SLAM) project for Udacity Computer Vision Nanodegree (CVND) program.
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