Physical AI
Physical AI focuses on integrating artificial intelligence with physical systems such as robots, IoT devices, and autonomous machines to interact with and operate in the real world.
Workshop Overview
This workshop introduces the principles of robotics, sensor integration, real-time decision-making, and AI-driven control systems, enabling learners to build intelligent physical systems.
Workshop Modules
Introduction to Physical AI
Understanding AI systems that interact with the physical world.
Robotics Fundamentals
Basics of robots, actuators, and control mechanisms.
Sensors & Perception
Using sensors, cameras, and data for environment awareness.
Computer Vision
Enabling machines to interpret visual data from the real world.
Edge AI
Running AI models on devices for real-time processing.
IoT Integration
Connecting devices and systems for smart automation.
Autonomous Systems
Self-driving and decision-making in dynamic environments.
Human-Robot Interaction
Designing safe and intuitive interaction with machines.
Safety & Reliability
Ensuring secure, robust, and fail-safe physical AI systems.