Renault has been granted a patent for a method and apparatus that enables aerial robots to detect and avoid conflicts during missions. The system monitors the robot’s state and environment, generates adaptable local routes, and assesses uncertainty to determine whether to maintain or change the global travel route. GlobalData’s report on Renault gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Renault, Battery management systems was a key innovation area identified from patents. Renault's grant share as of July 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.
Robot conflict detection and route adjustment method
The patent US12072707B2 describes an advanced apparatus designed for aerial robots to detect and avoid conflicts during their missions along a predetermined global route. The apparatus comprises memory for storing program code and processing circuitry that executes this code to monitor both the aerial robot's state and its surrounding environment. This includes the perception of objects in the vicinity. The system generates a dynamic local route that adapts as the aerial robot travels, with the size and shape of the monitored region being adjustable based on the robot's type and current state. A key feature is the monitoring of uncertainty in object perception, which informs whether the aerial robot should maintain its global route or switch to the local route based on a predefined uncertainty threshold.
The method outlined in the patent further details how the aerial robot can transition between routes depending on the measure of uncertainty. If the uncertainty is below the threshold, the robot continues on the global route; if it exceeds the threshold, the robot shifts to the local route. The apparatus utilizes sensor data to assess the environment, including object size and congestion, and constructs a configuration space to identify possible states and actions for the aerial robot. This configuration space is discretized into points that help determine the optimal path while maximizing rewards based on proximity to the global route and avoidance of obstacles. The patent emphasizes the importance of real-time adjustments and decision-making to enhance the operational safety and efficiency of aerial robots in complex environments.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
