What is Autonomous AI?
Autonomous artificial intelligence is defined as routines designed to allow robots, cars, planes and other devices to execute extended sequences of maneuvers without guidance from humans. The revolution in artificial intelligence (AI) has reached a stage when current solutions can reliably complete many simple, coordinated tasks. Now the goal is to extend this capability by developing algorithms that can plan ahead and build a multistep strategy for accomplishing more. ...
Autonomous operation often requires imagining a number of potential outcomes for the future, anticipating possible problems and then setting a course of action that minimizes the dangers while maximizing some other factor like speed or reliability. ...
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it is common to break the job into these layers.
- Sensing — Building a model of the constantly shifting world requires a collection of sensors that are usually cameras and often controlled lighting from lasers or other sources. The sensors usually also include position information from GPS or some other independent mechanism.
- Fusion — The details from the various sensors must be organized into a single, coherent view of what’s happening around the vehicle. Some images may be occluded. Some may be failing. They may not always be consistent. The sensor fusion algorithms must sort through the details and construct a reliable model that can be used in later stages for planning.
- Perception — After the model is constructed, the system must begin to identify important areas like any roads or paths or moving objects.
- Planning — Finding the best path forward requires studying the model and also importing information from other sources like mapping software, weather forecasts, traffic sensors and more.
- Control — After a path is chosen, any device must ensure that the motors and steering work to move along the path without being diverted by bumps or small obstacles.
See the full article here: https://venturebeat.com/2022/03/31/what-is-autonomous-ai/
