Robotics & Autonomous Systems
Autonomous robotics integrates mechanical actuation, sensor fusion, and real-time planning to enable machines to operate independently in dynamic physical environments. The Society of Automotive Engineers (SAE) defines six levels of driving automation, ranging from Level 0 (no automation) to Level 5 (full steering and environmental autonomy under all conditions). Key navigation technologies include Simultaneous Localization and Mapping (SLAM), LiDAR (Light Detection and Ranging), ultrasonic sensors, and optical cameras. Industrial robotics utilizes articulated robotic arms with multiple degrees of freedom governed by forward and inverse kinematics. Prominent applications span autonomous aerial drones, unmanned underwater vehicles (UUVs), humanoid robots, and automated warehouse logistics platforms.
Key Concepts & Examination Highlights
- The SAE International standard J3016 defines six discrete levels of vehicular driving automation from Level 0 to Level 5.
- Simultaneous Localization and Mapping (SLAM) is the computational method by which an autonomous robot builds a map of an unknown environment while tracking its location.
- LiDAR sensors measure distance to target objects by emitting pulsed laser light and calculating reflection time-of-flight.