Domain: Robotics & Embodied AI

Hardware components that execute physical actions.

Control using real-time sensor feedback.

Continuous loop adjusting actions based on state feedback.

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

External sensing of surroundings (vision, audio, lidar).

Control without feedback after execution begins.

Software pipeline converting raw sensor data into structured representations.

Internal sensing of joint positions, velocities, and forces.

Field combining mechanics, control, perception, and AI to build autonomous machines.

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

Inferring the agent’s internal state from noisy sensor data.