Skip to content
0:00 / 0:00

#braitenbergvehicles#controltheory#robotics

The Braitenberg Vehicles

Brian Douglas

339K subscribers • 1 video on Hallway

YouTube
  • Recommended by 2 people: 2 on Hacker News.
  • A classic. People kept recommending it from 2020 to 2024.
  • Presented by Brian Douglas, control systems engineer
  • May be out of date. Uploaded 10 years ago, in an area where tools change fast.

Beginner. No background in the topic needed.

64K views10 years ago2 recommendations

AI and machine learningHardwareAlgorithmsEmbedded systems

Brian Douglas explains Braitenberg vehicles, showing how simple connections between sensors and motors can produce lifelike, complex emergent behaviors.

Get the map of control theory: redbubble.com/shop/ap/55089837 Download eBook on the fundamentals of control theory (in progress): engineeringmedia.com This video explores the world of simple logical robots as described by Valentino Braitenberg in his book Vehicles, Experiments in Synthetic Psychology. With very simple linkages between sensors and actuators you can develop robots that exhibit surprisingly complex behaviors. Errata: None yet that I know of! But let me know if you spot something! Links to more information: Rube Goldberg: rubegoldberg.com Build your own Braitenberg vehicle: instructables.com/id/Braitenberg-vehicles-1-4-vehicles-that-… Plum Geek Robotics: plumgeek.com A lot of great robot news and educational sources at Robohub.org Don't forget to subscribe! I'm on Twitter @BrianBDouglas! If you have any questions on it leave them in the comment section below or on Twitter and I'll try my best to answer them. I will be loading a new video whenever I can and welcome suggestions for new topics. Please leave a comment or question below and I will do my best to address it. Thanks for watching! Image credits: "Valentino Braitenberg Portrait" by Alfred Wegener - Own work. Licensed under CC BY-SA 4.0 via Commons - commons.wikimedia.org/wiki/File:Valentin_Braitenberg_Portrai… Rube Goldberg contest winners courtesy of Purdue University Rube Goldberg image courtesy of RGI Music credits: "Cherry Blossoms" Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 creativecommons.org/licenses/by/3.0/ "Cool Vibes" Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 creativecommons.org/licenses/by/3.0/

Why it's here

2 people recommend this

What people say. Recommended as a fascinating introduction to emergent behavior, control theory, and simple autonomous robotics.

gherkinnnon Hacker News • Recommends

On “Kernighan's Law: You are not smart enough to debug it”

Uphill Analysis, Downhill Synthesis is a major point in the book Vehicles . 0 Fascinating thought experiments. Here’s an introduction on YT 1, though it really only scratches the surface. 0 link 1 link to this video

rramadasson Hacker News • Recommends

On “The Nature of Code (2nd Edition)”

I am forever indebted to this book for pointing me to Valentino Braitenberg's Vehicles: Experiments in Synthetic Psychology ( link ) where very simple autonomous sensor/actuator machines combine to exhibit complex behaviour which maybe mistaken for "Intelligence". Makes you really think abut Complexity/Intelligence/Emergent Behaviour/etc. Wikipedia : link Some Videos: link link to this video

DonHopkinson Hacker News • Mentions

On “Will Wright on Designing User Interfaces to Simulation Games (1996) [video]”

…e behaviours (like phototaxis) through the simplest vehicles, to the formation of concepts, spatial behaviour, and generation of ideas. >For the simplest vehicles, the motion of the vehicle is directly controlled by some sensors (for example photo cells). Yet the resulting behaviour may appear complex or even intelligent. The Braitenberg Vehicles: link to this video Student: What about from person to person, you talking about the information that's contained within the objects, so there can be information in another person, that you want to interact with in the environment. Have you looked at any reasons why you would want to do that? Will Wright: Oh yeah, I mean, that's that's the hard problem. I mean…