How the robot revolution will be a team effort
19 September 2018
Artificial intelligence is becoming more and more prevalent in our lives each day. In their current applications, AI agents can learn and predict people’s behavior, helping them with useful suggestions, and autonomously completing tasks assigned to them. At Silicon Valley’s AI Incorporated, they can now also form teams. “We have developed collaborative AI agents that are open to teamwork and see other agents as potential collaborators,” says Ali Afrouzi, AI Incorporated’s CEO.
Artificial intelligence works based on a reward system, which corresponds to a higher accuracy and efficiency in its performance. In environments crowded with traditional AI agents, such as the internet, each agent competes with other agents to maximise its own reward, thus maximising its own performance. Thus, a group of self-driving cars in a garage would compete with one another to exit first.
But this does not always lead to the maximisation of overall efficiency. Just as cases where, in crowded human environments, collaboration yields better results, machines may become better off if they collaborate with each other. This becomes exceedingly important if the machines are working on behalf their human owners, as is the case in the example of autonomous cars. AI Incorporated’s Collaborative Artificial Intelligence Technology (CAIT) is a new technological frontier that tackles this issue. “Our robots can work together to maximise their individual and collective performance through teamwork. They can form groups, share information, build tasks and even transfer their skills to one another.” Afrouzi says.
In addition to its patented Collective Artificial Intelligence Technology, AI Incorporated is the first company that works on Quantum SLAM in the field of mobile robotics. Simultaneous Localisation and Mapping, or SLAM, is a technology that allows robots to perceive their physical location in their surrounding environment. Quantum SLAM considers the complete state of the mechanical system at a given time, encoded as a phase point or a pure quantum state vector along with an equation of motion which carries the state forward in time.
Afrouzi is also the CEO of Bobsweep, a company specialising in cleaning robots which has sold hundreds of thousands household robots since 2011. The company boasts six models in its portfolio as of now and plans to launch its most disruptive model in January 2019. “It is very AI-rich, but its revolutionary features will be disclosed once the product is released,” says Afrouzi about Bobsweep’s newest model.
In explaining his vision for smart cities of the future, Afrouzi envisions Passenger Pod as the system of transportation, a hybrid between an autonomous vehicle and ridesharing system. “It uses the best of both worlds: pods are owned by passengers and are available in a variety of shapes and sizes,” Afrouzi explains. “Unlike the other driverless cars, for this one you don’t have to worry about charging the battery, maintenance, or even a high price tag, since the pod does not have locomotion components. The chassis is a separate interchangeable and and can be shared among pod owners. Each chassis unit knows about the exact location of all the others and all the pods, which makes things so much easier.”