A Canadian artificial intelligence research firm is working on the concept of using self-driving car technology on trash can. Company has released a design for an autonomous refuse robot. A new application for mobile robotics, the new AI enhanced robotics system introduces a device that can autonomously travel to the curbside and wait for the pickup truck at pre-scheduled times. Scheduling takes place with an APP and status can be checked in real time. In case the robot needs help with navigation or gets stuck, the user can control it through the APP.
With this new application in mobile robotics, the company plans to use its Simultaneous Localization and Mapping (SLAM) technology combined with deep learning to bring a new generation of robots. The autonomous refuse receptacle robot is an application for the company’s Versatile Self Localizing Autonomous Platforms (VSLAP). A new robot proprietary software called the Quantum Slam Operating System (Q-OS) helps companies mobilize any given machine. With this humans emptying trash cans will be a thing of the past. When it is time for pickup, the bins will simply leave their post to be emptied.
“Robots are the perfect solution for eliminating those tasks which humans do not wish to conduct,” said Ali Afrouzi, CEO of AI Incorporated and bObsweep Inc. “With our cost-efficient Q-OS SLAM solution, it is now economically viable to automate trash cans that autonomously navigate to the curbside when the truck arrives!”
These robotic devices contain a comprehensive navigation system using a combination of SLAM, deep reinforcement learning, and computer vision. These devices will be able to map their environment, travel autonomously, communicate with other devices, and monitor their internal contents with an extensive array of sensors.
