Robotics / Concepts and practice

Embodied AI

Embodied AI studies agents that perceive and act on an environment through a physical body or a simulated embodiment.

Prepared by MALONI Robotics · Updated

How it works

Perception and action form a feedback loop. PaLM-E research, for example, combines language with visual and state inputs for tasks including robotic planning.

Where to start

This perspective helps describe tasks that connect an instruction to the current workplace state. Identify which steps a model plans and which a separate controller executes.

Robot applications →

Limits and what to verify

Embodied AI and Physical AI overlap in meaning; neither is a certification category. Understanding an instruction does not demonstrate safe physical execution.

Before requesting a quote

Break the scenario into observation, decision, action and result checking. Establish whether you need a research platform, integration of existing functions, or development of a new capability before requesting a quotation.

Related MALONI platforms

These links help you explore the portfolio. The technologies described are not automatically included in delivery.

Related concepts

Sources and further reading

MALONI offers robot platforms. This guide separates general principles, research examples and product offers; it is not an independent test of the linked models.

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