Trained Probabilistic Models for the NAO Robot in a Labyrinth
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Updated
Nov 11, 2021 - Python
Trained Probabilistic Models for the NAO Robot in a Labyrinth
This project is a java controller for the Nao Robot, simulated on the Webots environment.
Implementation of Breadth-First and STRIPS algorithms on NAO Robot to solve the Hanoi Tower game
Simple time-manager and scheduler with option to be queried by a NAO robot
The 4-7-8 breathing exercise is a more in-depth breathing exercise, in which the participants are asked to breathe in a specific rhythm
Nao-Robot Double Tap to perform action.
Robot NAO para niños con TEA. Instituto Tecnologico de Tijuana Inteligencia Artificial SCC-1002SC9A Serie A Grupo B/2
A repository containing basic robot controllers (various types: e.g. NAO by Aldebaran, e-Puck and more) that were implemented or upgraded during the experimental part of the course Autonomous Agents at TUC. The evaluation and appliance of the controllers developed, was carried out using Webots R2021 simulation enviroment.
Reinforcement Learning implementation to generate parameters of sinusoidal curves that, through an LQR and Proportional controller, generate the angles for a simulated robot to walk
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