PPT-Real-time crowd motion planning:

Scalable Avoidance and Group Behavior 2008 Authors Yersin Maïm Morini Thalman Presented by Jessica Siewert Content of presentation The Method Previous work The architecture. It operates on detailed continuous geometric representations and does not require apriori discretization of the state or action spaces I I NTRODUCTION As robots become more physically robust and capable of sophisticated sensing navigation and manipu Steven Lu. Overview. Significance of real-time motion blur rendering (Useful for what?). Slow performance of traditional methods. Some of the modern, more . efficient . methods . have problems, too. A new method is presented . Leia Szwedo. In partial fulfillment of RT 412. University of Wisconsin – La Crosse, Radiation Therapy Program. Background. Issue. 1. :. Respiratory motion caused by patient breathing during radiation therapy treatment can cause displacement of the tumor location.. Tian. . Tian. 1. . Jun. . Zhu. 1. . . Fen. . Xia. 2. . Xin. . Zhuang. 2. . Tong. . Zhang. 2. Tsinghua. . University. 1. . Baidu. . Inc.. 2. 1. Outline. Motivation. Characteristic Analysis. . motion planning. J. . Pettré. , J.P. Laumond,. A motion capture . based. . control-space. . approach. for . walking. mannequins. Computer Animation and Virtual . Worlds. , Vol. 16, 2006.. C. . Walter S. . Lasecki. , . Juho. Kim, Nicholas Rafter, . Onkur. Sen, Jeffrey P. . Bigham. , Michael S. Bernstein. Presented By,. Paurav Surendra. INTRODUCTION. Tool designed to quickly create Wizard-of-Oz Prototypes with the help of the crowd. Geoinformatics. 20.5.2015. Data . catalog. : metadata . visualization. Goals. Study . the. . visualization. . possibilities. of . the. . metadata. . Which. . kind. of . views. on metadata . are. Jia. Pan and Dinesh Manocha. University . of North Carolina, Chapel Hill, USA. http://gamma.cs.unc.edu/gplanner. Presenter: . Liangjun. Zhang, Stanford University. Real-time Motion Planning. Dynamic/uncertain/deformable environments. We will begin our Webinar at approximately 1:01 PM EST. “5 Secrets of Success When Migrating to Real-Time Interaction Analytics”. . Today’s . . Educational . Webinar . “5 Secrets of Success When Migrating to Real-Time Interaction Analytics” is sponsored by the following partners:. Crowds (and research in computer animation and games) CSE 3541/5541 Matt Boggus Foundation of Digital Games See site for paper topics CASA – computer animation and social agents Social Agents and 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 Team Member : Zhen Hu, . Hanqing Duan. Mentor: Dr. Russell Taylor, Dr. Deepa . Galaiya. Seminar Presentation. Project Summary. Goal: . Accurate Measurement of Neck Flexion Angle during Thyroid and Ear Surgery by using IMUs. Describing motion is occasionally difficult to do with words. Graphs can help simplify this description greatly. Position = Distance from a starting point. Velocity = rate of change in position. Acceleration = rate of change in velocity. “Robot-assisted steady ultrasound imaging enabled by deep learning”. Tian Xie. Project . Robot-assisted steady ultrasound imaging enabled by deep learning. . Papers. Laporte, C., & . Arbel. , T. (2011). .