Results for "physical agents"

Human-like understanding of physical behavior.

Physical form contributes to computation.

Software simulating physical laws.

AI systems that perceive and act in the physical world through sensors and actuators.

Intelligence emerges from interaction with the physical world.

Hardware components that execute physical actions.

High-fidelity virtual model of a physical system.

Ensuring robots do not harm humans.

Devices measuring physical quantities (vision, lidar, force, IMU, etc.).

The physical system being controlled.

Motion considering forces and mass.

Artificial sensor data generated in simulation.

Learning physical parameters from data.

Multiple agents interacting cooperatively or competitively.

Distributed agents producing emergent intelligence.

Agents fail to coordinate optimally.

Designing systems where rational agents behave as desired.

Extending agents with long-term memory stores.

System that independently pursues goals over time.

Decomposing goals into sub-tasks.

Simple agent responding directly to inputs.

Agents communicate via shared state.

Tendency for agents to pursue resources regardless of final goal.

Competition arises without explicit design.

AI tacitly coordinating prices.

Some agents know more than others.

Designing AI to cooperate with humans and each other.

Internal sensing of joint positions, velocities, and forces.

A system that perceives state, selects actions, and pursues goals—often combining LLM reasoning with tools and memory.

Artificial environment for training/testing agents.