Robotics & Machine Learning Daily News2024,Issue(Nov.4) :157-157.

New Findings from Technical University Darmstadt (TU Darmstadt) in the Area of R obotics and Automation Described (Safe and Efficient Path Planning Under Uncerta inty Via Deep Collision Probability Fields)

Robotics & Machine Learning Daily News2024,Issue(Nov.4) :157-157.

New Findings from Technical University Darmstadt (TU Darmstadt) in the Area of R obotics and Automation Described (Safe and Efficient Path Planning Under Uncerta inty Via Deep Collision Probability Fields)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting from Darmstadt, Germany , by NewsRx journalists, research stated, “Estimating collision probabilities be tween robots and environmental obstacles or other moving agents is crucial to en sure safety during path planning. This is an important building block of modern planning algorithms in many application scenarios such as autonomous driving, wh ere noisy sensors perceive obstacles.”

Key words

Darmstadt/Germany/Europe/Robotics and Automation/Robotics/Technical University Darmstadt (TU Darmstadt)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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