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Session WedAT1 Pegaso A Wednesday, October 10, 2012 ... - Lirmm

Session WedAT1 Pegaso A Wednesday, October 10, 2012 ... - Lirmm

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<strong>Session</strong> WedGT2 Fenix 2 <strong>Wednesday</strong>, <strong>October</strong> <strong>10</strong>, <strong>2012</strong>, 17:30–18:30<br />

Telerobotics<br />

Chair Jordi Artigas, DLR - German Aerospace Center<br />

Co-Chair<br />

17:30–17:45 WedGT2.1<br />

Multi-Objective Optimization for Telerobotic<br />

Operations via the Internet<br />

Yunyi Jia 1 , Ning Xi 1,2 , Shuang Liu 2 , Huatao Zhang 1 and Sheng Bi 2<br />

1 Electrical and Computer Engineering Department,<br />

Michigan State University, USA<br />

2 Department of Mechanical and Biomedical Engineering,<br />

City University of Hong Kong, Hong Kong, China<br />

• Study the influence of the<br />

teleoperation condition variables<br />

on the telerobotic operations,<br />

including the quality of<br />

teleoperator, task dexterity and<br />

network quality<br />

• investigate the method to online<br />

identify these condition variables<br />

and employ them to enhance the<br />

telerobotic operations with multiple<br />

objectives.<br />

• Implemented on a mobile<br />

manipulator and verified its<br />

effectiveness.<br />

System framework<br />

Experiment implementation<br />

18:00–18:15 WedGT2.3<br />

Network Unfoldment and Application to Wave<br />

Variables using measured Forces<br />

J. Artigas<br />

Institute of Robotics and Mechatronic,<br />

DLR - German Aerospace Center, Germany<br />

• General network based<br />

representation, analysis and design.<br />

• A solution to the ambiguity of the<br />

channel causality.<br />

• Time Delay Power Networks: A new<br />

haptic channel representation<br />

paradigm.<br />

• Energy consistent application of the<br />

wave variables framework using<br />

sensed forces at the environment.<br />

17:45–18:00 WedGT2.2<br />

A master-slave robotic simulator based on<br />

GPUDirect<br />

Jianying Li, Yu Guo, Heye Zhang and Yongming Xie<br />

Shenzhen Institutes of Advanced Technology,<br />

Chinese Academy of Sciences, China<br />

• Surgery robotic training simulation<br />

• CUDA and GPUDirect version 1<br />

• Virtual surgery data transfer using<br />

GPUDirect between three<br />

computers by InfiniBand card<br />

• 247% performance improvement in<br />

data transmission speed in our<br />

master-slave robotic simulator<br />

18:15–18:30 WedGT2.4<br />

Unimodal Asymmetric Interface for<br />

Teleoperation of Mobile Manipulators:<br />

A User Study<br />

Alejandro Hernandez Herdocia, Azad Shademan,<br />

and Martin Jägersand<br />

Department of Computing Science, University of Alberta, Canada<br />

• Different methods to command one-arm<br />

mobile manipulator were studied:<br />

• Workspace Clutching (manipulator)<br />

• Differential End-Zone (manipulator)<br />

• Position/Rate Switching (manipulator)<br />

• Rate Control (mobile base)<br />

• Evaluated pick & place performance with<br />

7 subjects solving a Towers of Hanoi<br />

puzzle<br />

• Two case studies were presented:<br />

• Large-displacement pick & place<br />

• Opening a door and exiting a room<br />

<strong>2012</strong> IEEE/RSJ International Conference on Intelligent Robots and Systems<br />

–185–<br />

Mobile manipulator<br />

(SEGWAY+WAM) with<br />

asymmetric and haptics-enabled<br />

master-slave configuration.

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