首页|Findings on Robotics Reported by Investigators at Massachusetts Institute of Tec hnology (clio: Real-time Task-driven Open-set 3d Scene Graphs)
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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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.
CambridgeMassachusettsUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningRobotRobo ticsMassachusetts Institute of Technology
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