Learning to walk as a MAS task

classic project

Author

Abstract

The goal of the project is to implement a multi-agent system of two agents that will control the leg movement of the human body skeleton inside the artificial environment. Each agent will control 11 muscles of each leg and collaboratively they have to learn how to walk.

Outcome

Course

— a.y.

2021/2022

— credits

6

— cycle

2nd cycle

— language

wgb.gif

Teachers

— professor

Andrea Omicini

— other professors

Roberta Calegari

Context

— university

Alma Mater Studiorum-Università di Bologna

— campus

Bologna

— department / faculty / school

DISI

— 2nd cycle

 9063 Artificial Intelligence 

URLs & IDs

AMS Page
course on Virtuale
virtual room
Course Timetable

— course ID

91267

Related Courses

— components

Multi-Agent Systems (Module 1) (2nd Cycle, 2021/2022) — Andrea Omicini  |  Multi-Agent Systems (Module 2) (2nd Cycle, 2021/2022) — Roberta Calegari

— related

Project Work in Multi-Agent Systems (2nd Cycle, 2021/2022) — Andrea Omicini

Partita IVA: 01131710376 — Copyright © 2008–2023 APICe@DISI – PRIVACY