Session WedAT1 Pegaso A Wednesday, October 10, 2012 ... - Lirmm
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> WedGT7 Vega <strong>Wednesday</strong>, <strong>October</strong> <strong>10</strong>, <strong>2012</strong>, 17:30–18:30<br />
Mobile Manipulation<br />
Chair Masato Ishikawa, Osaka Univ.<br />
Co-Chair<br />
17:30–17:45 WedGT7.1<br />
Path Planning for Image-based Control of<br />
Wheeled Mobile Manipulators<br />
Moslem Kazemi, Kamal Gupta, Mehran Mehrandezh<br />
Carnegie Mellon University, Pittsburgh, USA<br />
Simon Fraser University, Burnaby, Canada<br />
University of Regina, Regina, Canada<br />
• Proposes a randomized kinodynamic<br />
planning approach for non-holonomic<br />
mobile manipulators<br />
• Accounts for visibility constraints<br />
(occlusion and field of view limits)<br />
• Coordinates the motion of the mobile base<br />
and on-board arm through weighted<br />
pseudo-inverse solutions and a null-space<br />
optimization technique<br />
• Proposes a decoupled trajectory tracking<br />
strategy: state feedback control of the<br />
mobile base + image-based control of the<br />
on-board arm<br />
18:00–18:15 WedGT7.3<br />
Modeling and Control<br />
of Cylindrical Mobile Robot<br />
Tetsurou Hirano, Masato Ishikawa and Koichi Osuka<br />
Dept. of Mech. Eng., Osaka Univ., Japan<br />
• Cylindrical mobile robot, driven by one<br />
eccentric rotor with single actuator<br />
• Two fundamental locomotion modes: edge<br />
rolling and lateral-side rolling<br />
• Modeled the robot using Lagrange’s<br />
E.O.M. and proposed control algorithm for<br />
the both modes<br />
• Achieved position control experiment only<br />
by internal sensor with a real cylindrical<br />
mobile robot<br />
Cylindrical Body<br />
Eccentric Rotor<br />
Cylindrical Mobile Robot<br />
17:45–18:00 WedGT7.2<br />
Mobile Manipulation Through<br />
An Assistive Home Robot<br />
Matei Ciocarlie, Kaijen Hsiao, and David Gossow<br />
Willow Garage Inc., USA<br />
Adam Leeper<br />
Willow Garage Inc., USA, and Stanford University, USA<br />
• We present a mobile manipulator operated by<br />
a motor-impaired person to perform varied<br />
and unscripted manipulation tasks<br />
• We describe the complete set of tools that<br />
enable the execution of complex tasks, and<br />
share the lessons learned from testing them<br />
in a real user’s home<br />
• In the context of grasping, we show how the<br />
use of autonomous sub-modules improves<br />
performance in complex, cluttered<br />
environments<br />
<strong>2012</strong> IEEE/RSJ International Conference on Intelligent Robots and Systems<br />
–189–<br />
A PR2 robot, operated by a motor-impaired<br />
user, performing a manipulation task in a<br />
real home<br />
18:15–18:30 WedGT7.4<br />
Sensor-based Redundancy Resolution for a<br />
Nonholonomic Mobile Manipulator<br />
Huatao Zhang, Yunyi Jia and Ning Xi<br />
Electrical and Computer Engineering Department,<br />
Michigan State University, USA<br />
• Provide a redundancy<br />
resolution method for online<br />
trajectory generation by using<br />
real-time sensor information.<br />
• Employs multi-objective<br />
functions to meet the<br />
constraints and requirements<br />
simultaneously.<br />
• Apply this method to a high<br />
DOF mobile manipulator, and<br />
the effectiveness is<br />
demonstrated by simulation<br />
results.<br />
System structure<br />
Simulation results