Browse ScienceInfo articles and explainers related to Action.
271 published items.
Tactile intelligence is a robot’s ability to interpret touch, combine tactile signals with other senses and use contact feedback to learn, decide and adapt its actions i…
AI world models learn representations of how an environment changes so an agent can predict possible future states, compare actions and plan before acting in the real or…
A robot foundation model is broadly pretrained on robot, visual, language or action data so it can be adapted across many tasks instead of being built for one fixed beha…
A vision-language-action model, or VLA model, combines visual observations and language instructions with action generation so robots can connect what they see and hear…
Physical AI and embodied AI overlap around perception and action, but they emphasize different questions. Embodied AI focuses on intelligence grounded in a body and envi…
Physical AI combines perception, reasoning, prediction and control so AI systems can understand physical environments and take useful actions through robots, autonomous…
Generative AI is primarily designed to create or transform content, while agentic AI adds goal-directed planning, tool use, actions and feedback loops. Many agentic syst…
AI agents and chatbots can both use language models, but an agent is designed to pursue goals and take actions through tools while a chatbot is primarily designed for co…
AI agent examples range from research and coding assistants to workflow, customer-service and operations agents. The key is not the industry label but whether the system…
Embodied AI studies intelligent agents that perceive and act through a physical or simulated body, grounding learning and reasoning in interaction with an environment.
Agentic AI describes AI systems that can pursue goals through planning, tool use, actions and feedback. AI agents are concrete systems that implement this pattern with m…
Poster to promote the movie
When dogs are going to the toilet, they often look at us intently and scientists have found the answer to this action.
The kidneys are very important organs but are also very vulnerable to small daily actions.
The Xin Dynasty emperor, Wang Mang, had thoughts and actions far ahead of his time, making him hailed as a reformer from the future.