PPT-Efficient 3D object perception and grasp planning for mobil

domestic environments Jörg Stückler Ricarda Steffens Dirk Holz Sven Behnke University of Bonn Presented by Masatoshi ChangOgimoto mc4235columbiaedu Cosero Robot Cosero co gnitive ser. upennedu Kartik Mohta GRASP Lab University of Pennsylvania kmohtaseasupennedu Nathan Michael The Robotics Institute Carnegie Mellon University nmichaelcmuedu Vijay Kumar GRASP Lab University of Pennsylvania kumarseasupennedu Abstract This paper prese sautlisifjussieufr sahbaniccrjussieufr vperdccrjussieufr Abstract This paper addresses the motion planning problem of the dexterous manipulation of 3D rigid objects by a roboti multi64257ngered hand We propose a novel approach based on pro b abilist Rules of Perceptual Organization. Gestalt Psychologists. The whole is more than the sum of its parts. Closure. Even if there are gaps in a picture we will see the object. Rules of Perceptual Organization. Natchanon. . Wongwilai. Adviser: . Nattee. . Niparnan. , Ph.D.. M.Eng. .. 1. Outline. Introduction. How to grasp?, Why failed to grasp?, Goal. Related Works. Vision-based grasping, Manipulation under uncertainty. GRASP Checklist | This GRASP Checklist shall be used by assessors/inspectors who are assessing the implementation of the GRASP Module. GRASP is the Abbreviation for GLOBALG.A.P. Risk Assessment on Peter Brook. Matei. . Ciocarlie. Kaijen. Hsiao. Uncertainty. in Object Perception. Sensed Scene. Real Scene. Collaborative Grasp Planning with Multiple Object Representations. 2. Uncertainty. in Object . Processing the World. Notice Anything Strange?. “N is sort of…rubbery…smooth, L is sort of the consistency of watery paint… Letters also have vague personalities, but not as strongly as numbers do.”. GRASP Checklist | This GRASP Checklist shall be used by assessors/inspectors who are assessing the implementation of the GRASP Module. GRASP is the Abbreviation for GLOBALG.A.P. Risk Assessment on Modified from: http://www.appsychology.com/Book/Biological/perception.htm. Perception. T. he way we interpret the information we sense . The way we interpret the world in many ways dictates our sense of reality.  . ,. Stanford. Rob Fergus,. NYU. Antonio Torralba, MIT. Recognizing and Learning . Object Categories: Year . 2009. ICCV 2009 Kyoto, . Short Course,. September 24. Testimonials: “since I attended this. pointclouds. from in-hand sensor. Andreas Hermann, Felix . Mauch. , Sebastian . Klemm. , Arne . Roennau. Presented by Beatrice Liang. Overview and Motivation. Use in-hand depth cameras + GPU based collision detection algorithms for grasp planning on the fly. Yongxi. . Lu. w. ith Tara . Javidi. Electrical and Computer Engineering. University of California, San . Diego. 1. Object Detection. Given. A set of categories of interest (car, pedestrian, etc.). A color image. Humanoid Motion Planning for Dual-Arm Manipulation and Re-Grasping Tasks Nikolaus Vahrenkamp , Dmitry Berenson, Tamim Asfour , James Kuffner , Rudiger Dillmann Institute for Anthropometrics, University of Karlsruhe Human Vision: Perception CS 498: Virtual Reality UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN Eric Shaffer Visual Perception Transition from discussing physiology of vision to perception. How do our brains interpret the world around us so effectively?