Post B1qDRrP9Sk76pheXcu by tero@rukii.net
 (DIR) More posts by tero@rukii.net
 (DIR) Post #B1qDRXGGM57UMLL9zk by tero@rukii.net
       2026-01-01T11:27:45Z
       
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       It's not really about structured versus unstructured environments for #robots anymore. It's static versus agentic.Robots in the real world will encounter other agents. Autonomous cars will need to negotiate with all kinds of other road users, including cats, which are everywhere in Spain at least. There was a video from east Asia where an old lady was drying their vegetables on the road and an autonomous car was insistent on driving over them while the lady was trying their best to defend them.So, for any autonomous robot "in the real world" the true challenge isn't anymore that there are no standard grasping surfaces and items aren't in predefined places. Those are solved problems.The challenge is in agentic environments where the system needs to understand the other living or at least moving entities and their objectives to appropriately navigate the inherently social situations.This isn't only about cats trying to trip humanoid robots in stairs. It's also non-living things like fire. Humans model fire psychologically as an entity with an intent. Hence they are evolutionarily adapted to being able to keep a fire burning, or limit its destruction by putting it off.Human psychology is very Aristotlean in the way it models heavy things "wanting" to go down. Robotic psychology will need similar understanding to be able to negotiate, guide and harness dynamic entities in the world effectively.For these purposes we will need to replace static world models with agentic world models which properly accommodate non-ego agents and non-ego intents in the world. What's cool about that is that it will also enable a model to learn from third party experience which is always more abundant than ego experience. Monkey-see-monkey-do, or in some cases learn to absolutely not do.Let's work together in this and surpass the human level in agentic, living environments as well!#UniversalEmbodiment #RoboticFoundationModels #AI
       
 (DIR) Post #B1qDRiZoHkI9S9ZQUS by tero@rukii.net
       2026-01-01T11:29:10Z
       
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       The video: https://www.reddit.com/r/SelfDrivingCars/comments/1ns3amp/elderly_woman_tries_to_stop_autonomous_vehicle/
       
 (DIR) Post #B1qDRrP9Sk76pheXcu by tero@rukii.net
       2026-01-01T11:44:24Z
       
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       Does your robotic foundation model see another fire-fighting robot to run into a flow of asphalt flowing from a burning factory, and still go forward into the same obstacle without learning from the failure of the previous robot? That is a symptom of missing parts in the cognitive architecture, and will lead to the loss of not only few robots, but potentially all of them in a quickly developing situation where they are needed the most.https://en.wikipedia.org/wiki/Great_Molasses_FloodAdversarial environments can be even less forgiving, and herding all your autonomous drones into one trap will become to be a thing.