Media Summary: This video showcases a key part of my PhD research on advanced motion planning for mobile robots. Using Trajectory Tracking for AUV in ROS2 Using Gazebo This video demonstrates a vision-based autonomous UAV docking framework in a PX4 software-in-the-loop (SITL) using
Mpc For Trajectory Tracking With Ros2 - Detailed Analysis & Overview
This video showcases a key part of my PhD research on advanced motion planning for mobile robots. Using Trajectory Tracking for AUV in ROS2 Using Gazebo This video demonstrates a vision-based autonomous UAV docking framework in a PX4 software-in-the-loop (SITL) using In this video, I take my PhD research to the next level by demonstrating advanced obstacle avoidance for mobile robots. This is a testing video for my robot Abu robocon competition. This video presentation describes the work in the paper titled: "Data-Driven
For code, check my Github repo (32 stars with MIT license on GitHub): (add Github.com) then ... Abstract: We consider the problem of bridging the gap between geometric Autonomous Trajectory Tracking and Obstacle Avoidance via Model Predictive Control A final project for class RBE502 Robot Control in WPI. Single robot trajectory tracking via model predictive control (MPC) in presence of static obstacles MPC-based Unified Trajectory Planning and Tracking Control Approach for Automated Guided Vehicles
Data-Driven Model Predictive Control for Trajectory Tracking with a Robotic Arm MPC-based Trajectory Planning and Tracking Control (experiment 2) Amir Salimi Lafmejani Spring Berman Autonomous Collective Systems Laboratory Arizona State University.
