PPT-Acoustic and Visual Telepresence Robot

Author : carny | Published Date : 2024-01-13

By Avatar Lee Ming En Siow Jing Xuan Rachel Pong Reuben Foo Project Overview Remotecontrolled robot via WiFi Live access of its video and binaural audio feed

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Acoustic and Visual Telepresence Robot: Transcript


By Avatar Lee Ming En Siow Jing Xuan Rachel Pong Reuben Foo Project Overview Remotecontrolled robot via WiFi Live access of its video and binaural audio feed Useful for remote . sengpielaudiocomZusammenhangDerAkustischenGroessenpdf Acoustic quantities v a ac Particle displacement ac Particle velocity ac Particle accelera tion UdK Berlin Sengpiel 092004 Schall ac Sound pressure vZ aZ cE ac PZ Sound intensity ac 22 Z vZ aZ Ec Robot Obstacle domainofresponsibility (a)Robottoblame Robot Obstacle (b)Bothtoblame Robot domainofresponsibility (c)Sensor-dependentdo-mainofresponsibility Robot Obstacle b Collision (d)Collision,butb And Alternating Magnetic Field. Daqing. (. Daching. ) . Piao. , PhD . Associate Professor. School of Electrical and Computer Engineering. Oklahoma State University, Stillwater, OK 74078-5032. Abstract. Veronica Newhart, UC Irvine. Dr. Mark . Warschauer. , UC Irvine. Dr. Leonard Sender, CHOC and UC Irvine. Telepresence Robots. Virtual Inclusion. allows a child to actively participate in educational and social activities throughout the . Initial Findings. Introduction. Traffic State Detection Using Acoustics. Future Work. • . Early Detection. : . Minimum amount of recording needed by the classifier to. . correctly identify a scene.. A machine that does work on its own. A device that gathers information from the environment. A machine capable of performing and extending human tasks. All of the above. 2. Many experts believe that the next big advancement in technology will be in the area of:. Patrick A. Naylor. Project Meeting. Erlangen, Nov 30th, 2016. Introduction . – Task List. T2.1 Acoustic source localization and environment mapping. T2.2 Focusing by adaptive . robomorphic. arrays. Brad Pitney. Yin Shi. Chal. . McCollough. Areas of Development. IGA-based . Motion . Generation. Person . Tracking with . Kinect. Right . Arm Kinematics Modeling. IGA-based Motion . Generation. Extends existing music functionality.. Scenarios and storyboards. The previous magician example illustrated a simple . storyboard . which depicts a . scenario. Should come up with the scenario and come up with a design or “plan ahead” strategy to construct the program. Lothar Holitzner. 1. , . Ernst Günter Lierke. 2. 1. Paul Scherrer Institut, Laboratory for Scientific Developments and Novel Materials, Villigen, Switzerland; . 2. . t. ec5 AG, Oberursel, Germany. .. 0/20 MKT1003SUPPORTS GLOBAL BUILDING STANDARDSHelps achieveWELL Building StandardSupports the achievement of WELL v7 Features 78and 80 and WELL v2 Feature S04Helps achieve ecommended reverberation ti 2. Overview. Acoustic positioning system is mandatory for the detector. The frequency range of intereset for acoustic positioning is . 10-40 . kHz. The freqeuncy range of interest for acoustic neutrino detection is f<80 kHz. . relevant. for . abstract. . concepts. ? An . investigation. with . implicit. . measures. Scerrati E.. 1. , . Lugli. L.. 1. , . Borghi. A.M.. 2,3. , . Nicoletti. , R.. 1. 1. Department of Philosophy and Communication, University of Bologna . Monitoring patients more effectively. Assisting humans in various tasks. Analyzing patient needs locally and remotely. Performing surgery and other tasks by medical professionals. Medicine is complicated. There is a reason it can take 15 or more...

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