PPT-Low-Latency Teleoperations and Telepresence

Author : lindy-dunigan | Published Date : 2017-07-21

for the Evolvable Mars Campaign Mark Lupisella Michael Wright Jacob Bleacher Exploration Systems Projects NASA Goddard Space Flight Center Mike Gerhnardt

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Low-Latency Teleoperations and Telepresence: Transcript

for the Evolvable Mars Campaign Mark Lupisella Michael Wright Jacob Bleacher Exploration Systems Projects NASA Goddard Space Flight Center Mike Gerhnardt Steve Chappell Kara . 11 3266 2453 4819 3483 4819 3483 3604 3604 Anthem Dentegra Dentegra Family Plan Type High Low High Low Low High Low High Low High Low Low Low Diagnostic Preventive DP 100 80 100 100 100 100 100 100 100 100 100 100 100 Basic Services 75 60 80 50 60 8 at Continuous 1 ms Resolution. Weixin Wu, Yujie Dong, Adam Hoover. Dept. Electrical and Computer Engineering,. Clemson University. What is system latency. Delay from when an event is sensed to when the computer “does something” (actuates). Mark Claypool and David . Finkel. {. claypool,dfinkel. }@cs.wpi.edu. Computer Science and. Interactive Media & Game Development. Worcester Polytechnic Institute. 1. Cloud-based Games. Connectivity and capacity of networks growing. Dataflow Architectures. Supervisor: Anthony Steed. Sebastian . Friston. EngD. VEIV. Why Latency?. The time between a user’s action, and the computer’s response to this . action. Must be low to maintain the sense that the world is responding to the user – key to enabling presence. Shreya. The Problem. Machine learning requires real time, accurate, and robust predictions under heavy query load.. Most machine learning frameworks care about optimizing model training not deployment. goals for taxonomy session. survey sources of latency. categorise solutions. quantify benefits. consider deployment aspects. short-term & long-term applicability. common reference framework for discussions. Presenter: Tianyi Shan. 1. Organization. Motivation and background. The “SNOW” theorem. COPS-SNOW design and Rococo-SNOW design. Evaluation of the results. Takeaway and Discussion. 2. Motivation and background. Reetuparna. Das. €. §. . Onur. Mutlu. †. . Thomas Moscibroda. ‡. . Chita Das. §. € . Intel Labs . §. PennState. . †. CMU . ‡. Microsoft Research. Network-on-Chip. Network-on-Chip. Openstack. *. Yunhong Jiang . Yunhong.Jiang@intel.com. *Other names and brands may be claimed as the property of others.. Agenda. NFV and network . l. atency. Why network latency on NFV. How to achieve . Yan Yan. Overview. What are Telepresence Robots?. Features and Capabilities. Current Technologies. Social Implications of Telepresence. The Future of Telepresence Robots. Thesis. Telepresence will become commonplace in most settings, and is the first step in having robots replace workers. . Unclonable. Functions . by Exploiting the Latency-Reliability Tradeoff . in Modern Commodity DRAM Devices. Jeremie. S. Kim. . Minesh. Patel . Hasan Hassan . . Onur. . Mutlu. . Motivation. Old Virtex-E mezzanine. New Spartan-6 mezzanine. Data path, from the . peripheral backplane . input to TLK2501 . serializers. (three old links). ~90 ns. ~90 ns. Serialization in TLK2501 at 80MHz (three old links). June 1, 2014. Abstract. JESD204B links are the latest trend in data-converter digital interfaces. These links take advantage of high speed serdes technology to offer many compelling benefits including improved channel densities and simplified board... Dr. Sonalika’s Eye Clinic provide the best Low vision aids treatment in Pune, Hadapsar, Amanora, Magarpatta, Mundhwa, Kharadi Rd, Viman Nagar, Wagholi, and Wadgaon Sheri

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