Perception
Sensors and cameras help an autonomous robot observe its operating environment; the exact sensor set is model-specific.
AUTONOMOUS MOBILITY EXPLAINER
The Role of AI and Machine Learning in Enhancing Autonomous Delivery Robots for Last-Mile Logistics
This RIFE editorial explains the technology layers commonly associated with autonomous delivery: cameras and ranging sensors, localization and mapping, obstacle handling, route planning and infrastructure connections.
Localization and mapping
Indoor autonomous mobility depends on a reliable map and a way to estimate the robot position within that environment.
Path planning and obstacle handling
The robot needs controlled motion logic for planned routes and changing obstacles, with site-specific safety validation.
Infrastructure interfaces
Doors, lifts, IoT systems or task platforms can become part of the architecture where compatible interfaces are available.