3D ENVIRONMENT RISKS IDENTIFICATION UTILIZING REINFORCED LEARNING

• Main Author: CHASKO, Bryan John
• Format: Patent
• Language: English; French; German
• Published: 02.11.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

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.