首页|Findings from KTH Royal Institute of Technology Provides New Data about Robotics (Belief Control Barrier Functions for Riskaware Control)
Findings from KTH Royal Institute of Technology Provides New Data about Robotics (Belief Control Barrier Functions for Riskaware Control)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subject of a report. According to news reportingoriginating in Stockholm, Sweden, by NewsRx journalists, research stated, “Ensuring safety in real-worldrobotic systems is often challenging due to unmodeled disturbances and noisy sensors. To account forsuch stochastic uncertainties, many robotic systems leverage probabilistic state estimators such as Kalmanfilters to obtain a robot’s belief, i.e. a probability distribution over possible states.”
StockholmSwedenEuropeEmerging TechnologiesMachine LearningNano-robotRoboticsRobotsKTH Royal Institute of Technology
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