Robotics & Machine Learning Daily News2024,Issue(Oct.15) :55-56.

Findings on Robotics Reported by Investigators at Massachusetts Institute of Tec hnology (clio: Real-time Task-driven Open-set 3d Scene Graphs)

Robotics & Machine Learning Daily News2024,Issue(Oct.15) :55-56.

Findings on Robotics Reported by Investigators at Massachusetts Institute of Tec hnology (clio: Real-time Task-driven Open-set 3d Scene Graphs)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news originating from Cambridge, Massachusetts, by NewsRx correspondents, research stated, “Modern tools for classagnostic image segmentation (e.g., SegmentAnything) and open-set semantic understanding (e.g., CLIP) provide unprecedented opportunities for robot perception and mapping. Whil e traditional closed-set metric-semantic maps were restricted to tens or hundred s of semantic classes, we can now build maps with a plethora of objects and coun tless semantic variations.” Financial supporters for this research include National Science Foundation (NSF) , Swiss National Science Foundation (SNSF), MIT Lincoln Laboratory’s Autonomy al Fresco program, ARL DCIST program, ONR RAPID program.

Key words

Cambridge/Massachusetts/United States/North and Central America/Emerging Technologies/Machine Learning/Robot/Robo tics/Massachusetts Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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