首页|New Robotic Systems Research Has Been Reported by a Researcher at Northwestern P olytechnical University (A heuristic autonomous exploration method based on envi ronmental information gain during quadrotor flight)
New Robotic Systems Research Has Been Reported by a Researcher at Northwestern P olytechnical University (A heuristic autonomous exploration method based on envi ronmental information gain during quadrotor flight)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on robotic systems h ave been published. According to news originating from Northwestern Polytechnica l University by NewsRx correspondents, research stated, "Autonomous exploration is a widely studied fundamental application in the field of quadrotor, which req uires them to automatically explore unknown space to obtain complete information about the environment." Our news correspondents obtained a quote from the research from Northwestern Pol ytechnical University: "The frontier-based method, one of the representative wor ks on autonomous exploration, drives autonomous determination by the definition of frontier information so that complete information about the environment is av ailable to the quadrotor. However, existing frontier-based methods are able to a ccomplish the task but still suffer from inefficient exploration, and how to imp rove the efficiency of autonomous exploration is the focus of research nowadays. Slow frontier generation affecting real-time viewpoint determination and insuff icient determination methods affecting the quality of viewpoints are typical of these problems. Therefore, to overcome the aforementioned problems, this article proposes a two-level viewpoint determination method for frontier-based autonomo us exploration. First, a sampling-based frontier detection method is presented f or faster frontier generation, improving the immediacy of environmental represen tation compared to traditional traversal-based methods. Second, the access to en vironmental information during flight is considered for the first time, and an i nnovative heuristic evaluation function is designed to decide on high-quality vi ewpoint as the next local navigation target in each exploration iteration."
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