首页|Researchers from University of Illinois Describe Findings in Robotics and Automa tion (Trackdlo: Tracking Deformable Linear Objects Under Occlusion With Motion C oherence)
Researchers from University of Illinois Describe Findings in Robotics and Automa tion (Trackdlo: Tracking Deformable Linear Objects Under Occlusion With Motion C oherence)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics - Ro botics and Automation have been published. According to news reporting originati ng from Urbana, Illinois, by NewsRx correspondents, research stated, "The TrackD LO algorithm estimates the shape of a Deformable Linear Object (DLO) under occlu sion from a sequence of RGB-D images. TrackDLO is vision-only and runs in real-t ime." Financial supporters for this research include Illinois Space Grant Consortium U ndergraduate Research Opportunity Program, NASA Space Technology Graduate Resear ch Opportunity. Our news editors obtained a quote from the research from the University of Illin ois, "It requires no external state information from physics modeling, simulatio n, visual markers, or contact as input. The algorithm improves on previous appro aches by addressing three common scenarios which cause tracking failure: tip occ lusion, mid-section occlusion, and self-occlusion. This is achieved through the application of Motion Coherence Theory to impute the spatial velocity of occlude d nodes, the use of the topological geodesic distance to track self-occluding DL Os, and the introduction of a non-Gaussian kernel that only penalizes lower-orde r spatial displacement derivatives to reflect DLO physics. Improved real-time DL O tracking under mid-section occlusion, tip occlusion,and self-occlusion is demo nstrated experimentally." According to the news editors, the research concluded: "The source code and demo nstration data are publicly released."
UrbanaIllinoisUnited StatesNorth a nd Central AmericaRobotics and AutomationRoboticsUniversity of Illinois
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