International Business Machines had 24 patents in robotics during Q4 2023. IBM Corp filed patents in Q4 2023 for utilizing digital twin simulation to automatically mitigate noise, a convertible robot with modular configurations, defect repair using work robots, package delivery area hazard detection and mitigation, and light-based navigation for robotic devices. These patents focus on improving efficiency and safety in various technological applications. GlobalData’s report on International Business Machines gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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International Business Machines grant share with robotics as a theme is 45% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Proactive audible sound reverberation mitigation for predicted user experience (Patent ID: US20230418989A1)
The patent filed by IBM describes a computer-implemented method, computer program product, and computer system for utilizing digital twin simulation to automatically mitigate noise in an environment. The method involves generating a digital twin that simulates vibration based on equipment and activities in the environment, determining how vibration propagates within the environment, and creating a plan to mitigate the vibration for a user. This plan may include deploying noise cancellation modules or robots to specific locations based on the effectiveness calculated by the digital twin.
The computer program product and system include instructions and components for generating the digital twin, determining vibration propagation, and creating mitigation plans. These products and systems also involve dynamically positioning noise cancellation modules, identifying sources of vibration, tracking vibration with sensors, and measuring combined vibration and noise from various activities. Overall, the patent outlines a comprehensive approach to using digital twin simulation to address noise-related issues in an environment effectively.
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