3D ENVIRONMENT RISKS IDENTIFICATION UTILIZING REINFORCED LEARNING

摘要

Provided herein are exemplary methods for providing assessment of an injury risk, including deploying an agent into an environment, detecting a first object at a first state by the agent, taking an action to interact with the first object using reinforced learning by the agent, the action taken in order to maximize a reward, mapping the first object to a three-dimensional environment, and identifying potential risks within the three-dimensional environment. Also provided herein are exemplary systems for providing assessment of an injury risk, including an agent communicatively coupled to a sensing device, a communications network communicatively coupled to the agent, a three dimensional model risk assessment module communicatively coupled to the communications network, a user device communicatively coupled to the three dimensional model risk assessment module, and a system for identifying environmental risks communicatively coupled to the communications network.