How Does Exosphere Work?
Watch DJ Sures, founder, and CEO of Synthiam, introduce Exosphere from highlights of the community live Q&A session.
The bidding process determines who will control the robot between human operators and AI systems. As Exosphere continues to train ML systems for AI usage, human operators will be more likely to win confidence bids and control robots. As the ML usage data grows, AI companies will increase their ability to complete tasks autonomously, without human intervention. However, human operators will always be available to take over if the robot needs assistance.
Why Do Robots Need Exosphere?
Exosphere controls as much or little as necessary to help robot companies achieve their goals. Companies work very hard to program robot products. However, there are many edge cases where robot programming is unable to prove successful. The real-world is unpredictable. Exosphere utilizes the World's most powerful computer... the human mind. All while training the artificial intelligence knowledgebase of autonomous tasks with real-world examples.
There are two scenarios to use Exosphere that makes robot products successful.
100% Human Operation
In cases where a robot is required to interact with patients or retail customers, studies have found that human telepresence is preferred over text-to-speech chatbots.
Handling dangerous materials in a disposal facility or a chemical spill.
Concierge and medical delivery robots no longer require installation of expensive and high maintenance navigation beacons in customer facilities.
10% Human Assistance
Autonomous floor cleaning robots can request remote operator assistance when they get stuck rather than requiring an on-sight employee.
Public logistics delivery and security robots will be remotely course corrected when geolocation is lost due to unpredictable environmental changes.
Warehouse and manufacturing robots request assistance from service centers when safety or errors are detected to prevent operational downtime.