Robotics & Machine Learning Daily News2024,Issue(Feb.26) :76-76.DOI:10.1109/LRA.2023.3345695

Findings from Technical University Munich (TU Munich) Broaden Understanding of Robotics and Automation [Enhanced Dexterity Maps (Edm): a New Map for Manipulator Capability Analysis]

Robotics & Machine Learning Daily News2024,Issue(Feb.26) :76-76.DOI:10.1109/LRA.2023.3345695

Findings from Technical University Munich (TU Munich) Broaden Understanding of Robotics and Automation [Enhanced Dexterity Maps (Edm): a New Map for Manipulator Capability Analysis]

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Abstract

Research findings on Robotics - Robotics and Automation are discussed in a new report. According to news reporting from Munich, Germany, by NewsRx journalists, research stated, “The ability of a manipulator to compute a geometry-aware quality index for general tasks with different joint configurations is essential. Such workspace assessment is a well-known and studied field in existing robotics literature, often deployed through embodied structures such as voxelized maps.” Financial support for this research came from Lighthouse Initiative Geriatronics. The news correspondents obtained a quote from the research from Technical University Munich (TU Munich), “Notwithstanding, existing literature solely focuses on the assessment of a single pose (endeffector), neglecting the whole-body structure and its dexterity, which allows for secondary task optimization, nullspace motion, body placement, and improved manipulability. The proposed enhanced dexterity maps (EDM) aims to close these gaps using an augmented data structure. It offers a systematic analysis of disjoint flip solutions and accommodates additional performance metrics.”

Key words

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

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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