Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.
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Updated
Feb 17, 2025 - Python
Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.
YouBot omnidirectional mobile manipulation simulation for pick and place applications
Robotic sealing with visual feedback control and gesture based HRI
Designing, building and controlling a motorized prosthetic arm
This project would be studying the modelling of the quadcopter system and nonlinear control methods that can be implemented on the system for stability and trajectory tracking.
Closed-loop feedback optogenetic system
MATLAB code for a course on the control of synchronous generators.
BS Senior Design Project - FPGA active noise cancellation system.
Ugglan is a drone project using a Raspberry Pi Zero 2 W.
This is a complete python package that explores variational methods for 2D image segmentation popularly known as snakes. The package consists of already implemented methods like Chan Vese & Yezzi (mean seperation), Bhattacharya (Probability distribution separation), also, Interactive feedback control approach to snakes
This github has some Matlab codes for feedback control simluations
LabVIEW-based hardware-level control of Rehastim 2
Feedback control of turtlesim
A-star path planning, with a controller to track the desired waypoints
A physically reasonable representation of soccer juggling with Lagrangian dynamics, with a custom feedback control system.
Dynamic modeling and PID control of a magnetic levitation system using MATLAB & Simulink.
Pick-and-place mobile manipulation tasks with a KUKA youBot, starting from an initial condition with an arbitrary error relative to a desired trajectory.
This research explores the application of Nonlinear Control techniques and Proportional-Integral (PI) Controllers in autonomous vehicle navigation, specifically focusing on autonomous parking maneuvers for farming tractors within a simulated environment.
🛥️ Track and visualize trajectory data using the Nomoto model and PID controller, exporting timing info for detailed analysis in Excel.
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