首页|Patent Application Titled 'Three dimensional radio controlled targettraining de vice and methods of use' Published Online (USPTO20240328761)

Patent Application Titled 'Three dimensional radio controlled targettraining de vice and methods of use' Published Online (USPTO20240328761)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting originatin g from Washington, D.C., by NewsRx journalists,a patent application by the inve ntor Bonilla, Edgar (Chino HIlls, CA, US), filed on February 15, 2024, wasmade available online on October 3, 2024.No assignee for this patent application has been made.Reporters obtained the following quote from the background information supplied by the inventors: ““Field of Invention“This invention relates generally to robotics, more specifically, the present in vention is a remotecontrollable robotic device for use in target training purpo ses.“Background of the Invention“The field of law enforcement and security training evolved to incorporate advan ced technologies thatsimulate real-life scenarios, thereby enhancing the prepar edness and response capabilities of officers andsecurity personnel. In this con text, the development of training tools that accurately mimic the dynamicsof li ve situations, particularly those involving potential threats and hostages, is o f paramount importance.Traditional training methods often fall short in replica ting the unpredictability and complexity of suchscenarios, leading to a gap in the training efficacy.“The use of firearms by law enforcement officers, given their potential to cause harm, mandates a highlevel of precision and discernment. Officers are frequent ly faced with high-stakes situations where theymust make split-second decisions that could mean the difference between life and death. The challenge isfurther compounded when suspects use innocent bystanders as shields, creating a scenari o where the riskof collateral damage is significantly high. The ability to accu rately differentiate between a threat and aninnocent bystander, and to take app ropriate action, is thus a critical skill that needs to be honed throughrigorou s and realistic training.

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2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.18)