首页|Patent Issued for Adapting robotic protocols between labs (USPTO 11897144)

Patent Issued for Adapting robotic protocols between labs (USPTO 11897144)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Artificial Inc. (Palo Alto, California, United States) has been issued patent number 11897144, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors. The patent’s inventors are Budd, Geoffrey J. (Redwood City, CA, US), Honda, Alexander Li (Sunnyvale, CA, US), Sganga, Jake (Los Angeles, CA, US), Singh, Nikhita (Palo Alto, CA, US), Washington, Jeff (Round Rock, TX, US). This patent was filed on August 2, 2021 and was published online on February 13, 2024. From the background information supplied by the inventors, news correspondents obtained the following quote: “In traditional lab environments, human operators work throughout the lab to perform protocols with equipment and reagents. For example, a human operator may mix reagents together, manually calibrate a robot arm, and operate a pipettor robot to handle liquids. However, in some instances, a lab may include components (e.g., equipment, robots, etc.) that can be automated to perform protocols. “Though automating protocols may streamline the necessary processes, automation in lab environments poses unique challenges. For one, the language used by operators or for robots and equipment in labs is not standardized, so communications about protocols for a lab system to perform may be difficult for the lab system to correctly parse. Secondly, operators in labs may not be versed in how to use a lab system for automation given their specific scientific backgrounds. Further, although some of robots and equipment may be capable of easy integration into the lab system for automation, not all robots or equipment may be configured for automation and may lack the appropriate interfaces for the lab system to communicate with. Lastly, each of a range of robots and equipment connected to the lab system may have its own interface for communicating, and the lab system may need to determine how to communicate with each different interface, which may increase latency.”

Artificial Inc.BusinessEmerging TechnologiesMachine Learn- ingNano-robotRobotRoboticsRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.1)