首页|New Findings on Robotics Described by Investigators at Oregon State University (The Effect of Uneven and Obstructed Site Layouts In Best-of-n)
New Findings on Robotics Described by Investigators at Oregon State University (The Effect of Uneven and Obstructed Site Layouts In Best-of-n)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news originating from Corvallis,Oregon,by NewsRx correspo ndents,research stated,"Biologically inspired collective decisionmaking algor ithms show promise for implementing spatially distributed searching tasks with r obotic systems. One example is the best-of-N problem in which a collective must search an environment for an unknown number of sites and select the best option. " Financial support for this research came from Office of Naval Research. Our news journalists obtained a quote from the research from Oregon State Univer sity,"Real-world robotic deployments must achieve acceptable success rates and execution times across a wide variety of environmental conditions,a property kn own as resilience. Existing experiments for the best-of-N problem have not expli citly examined how the site layout affects a collective's performance and resili ence. Two novel resilience metrics are used to compare algorithmic performance a nd resilience between evenly distributed,obstructed,or unobstructed uneven sit e configurations. Obstructing the highest valued site negatively affected select ion accuracy for both algorithms,while uneven site distribution had no effect o n either algorithm's resilience."
CorvallisOregonUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningRoboticsRobotsOregon State University
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