PPT-Robot Grasping of Deformable Planar Objects

YanBin Jia with PhD students Feng Guo and Huan Lin Department of Computer Science Iowa State University Ames IA 50010 USA Rigid Body Grasping Form Closure The object has no degree of freedom . Abstract We present a method for controlling the motions of active de formable characters As an underlying principle we require that all motions be driven by internal deformations We achieve this by dynamically adapting rest shapes in order to induc Divvala Alexei A Efros and Martial Hebert Robotics Institute Carnegie Mellon University Abstract The Deformable Parts Model DPM has recently emerged as a very useful and popular tool for tackling the intracategory diversity problem in object detecti Carla . Binucci. , Emilio Di Giacomo, . Walter Didimo, Fabrizio Montecchiani, Maurizio . Patrignani. , . Ioannis. G. . Tollis. Fan-planar drawings. Fan-planar drawings. Given a graph G, a . fan-planar drawing . . Lecture 7: Development . of reaching. Within first 2 weeks, babies already directing arm towards objects. Some crude control of reach direction.. Improves by the 5th month; consistently touch targets.. 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. Dwyane George. March 10, 2015. Outline. Definitions. Algorithm: Single-Source Shortest Path (SSSP. ). r. -Division (Clustering). Runtime Analysis. Proof . of . Correctness. Planar Graphs. Definition: a graph G that can be embedded in a plane, such that the edges only intersect at the endpoints. Adarsh Kowdle Yao-Jen Chang . Tsuhan Chen. School of Electrical and Computer Engineering. Cornell University. 09/25/2009. WNYIP 2009. i. 3D: Interactive planar reconstruction. 2. i. 3D: Interactive planar reconstruction. Rev B. Topics. Robot Game. Table Setup. Review Missions. Cover Rules. Best (Good) . Practices. Official rules and updates supersede everything in my presentation (I might have . made mistakes). 2. Maryland FIRST. Monday, Feb . 21. Prof. Kristen . Grauman. UT-Austin. Recap so far:. Grouping and Fitting. Goal: move from array of pixel . values (or filter outputs) . to a collection of regions, objects, and shapes.. . Shape. . Retrieval. . with . Missing. . Parts. Organizers: . Emanuele . Rodolà. , Or Litany, Michael Bronstein, Alex Bronstein. Motivation. Existing retrieval techniques do not deal well with . 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 AIM?. Develop a camera guided robot.. Has to be able to detect red circular objects and the object position in each frame.. Needs to translate image co-ordinates to real world co-ordinates for robot.. Conceptual Design Review MRSD Team D Stakeholders: Customer – Cyert Center for Early Education Mentor – Dr. David Held Professors: Dr. Dimitrios (Dimi) Apostolopoulos Dr. John M. Dolan The Te International Journal of Artificial Intelligence & Applications (IJAIA), Vol.2, No.2, April 2011 91 A robotic hand is an electro-mechanical system comprised of many parts. The two main parts to such a