首页|Studies from Stanford University Have Provided New Information about Robotics (C atnips: Collision Avoidance Through Neural Implicit Probabilistic Scenes)

Studies from Stanford University Have Provided New Information about Robotics (C atnips: Collision Avoidance Through Neural Implicit Probabilistic Scenes)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting originating from Stanford, California, by NewsRx correspondents, research stated, “We introduce a transformation of a neural rad iance field (NeRF) to an equivalent Poisson point process (PPP). This PPP transf ormation allows for rigorous quantification of uncertainty in NeRFs, in particul ar, for computing collision probabilities for a robot navigating through a NeRF environment.”

StanfordCaliforniaUnited StatesNor th and Central AmericaEmerging TechnologiesMachine LearningRobotRoboticsStanford University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.24)