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> WedET<strong>10</strong> Lince <strong>Wednesday</strong>, <strong>October</strong> <strong>10</strong>, <strong>2012</strong>, 15:00–16:00<br />
Multifingered Hands<br />
Chair Jianwei Zhang, Univ. of Hamburg<br />
Co-Chair<br />
15:00–15:15 WedET<strong>10</strong>.1<br />
Tactile Sensor Based Varying Contact Point<br />
Manipulation Strategy for Dexterous Robot Hand<br />
Manipulating Unknown Objects<br />
Yuan-Fei Zhang<br />
State Key Laboratory of Robotics and System, HIT, China<br />
Hong Liu<br />
Institute of Robotics and Mechatronics, DLR, Germany<br />
• A tactile sensor based varying contact<br />
point manipulation strategy is proposed;<br />
• This strategy utilizes the simple<br />
mathematical models based on the<br />
assumption of fixed contact points;<br />
• This strategy is proposed to manipulate<br />
unknown objects with rolling contact for<br />
dexterous robot hand;<br />
• Experimental results show that the<br />
strategy can effectively improve the<br />
manipulation performance.<br />
Experimental results of dexterous<br />
robot hand manipulating<br />
unknown objects<br />
15:30–15:45 WedET<strong>10</strong>.3<br />
Action Gist Based Automatic Segmentation for<br />
Periodic In-hand Manipulation Movement Learning<br />
Gang Cheng, Norman Hendrich and Jianwei Zhang<br />
Department of Informatics, University of Hamburg, Germany<br />
• A short introduction to the techniques of<br />
in-hand manipulation action gist<br />
• Based on the action gist extraction, a<br />
segmentation algorithm is proposed<br />
• The possibility of fusing the segmentation<br />
result with tactile information is discussed<br />
• Experiments are taken with respect to<br />
some practical cases, and then follows the<br />
corresponding analysis<br />
Periodic In-hand<br />
manipulation movement<br />
Data-glove Tactile Sensor<br />
Action gist<br />
techniques<br />
Segmentation 1<br />
Segmentation 2<br />
Overall Segmentation<br />
15:15–15:30 WedET<strong>10</strong>.2<br />
Card Manipulation using a High-speed Robot System<br />
with High-speed Visual Feedback<br />
Yuji Yamakawa and Masatoshi Ishikawa<br />
Dept. of Creative Informatics, Univ. of Tokyo, Japan<br />
Akio Namiki<br />
Dept. of Mechanical Engineering, Chiba Univ., Japan<br />
• We performed card flicking and card<br />
catching by using a high-speed robot<br />
system.<br />
• Card flicking was carried out by using the<br />
strain energy occurring with card<br />
deformation. And, we proposed a strategy<br />
(utilizing finger vibration) for flicking the<br />
card.<br />
• we suggested a high-speed visual<br />
feedback control method in order to catch<br />
the card flicked by the robot hand.<br />
• We analyzed the slip condition and the<br />
transition from the strain energy to the<br />
kinetic energy during card flicking.<br />
<strong>2012</strong> IEEE/RSJ International Conference on Intelligent Robots and Systems<br />
–169–<br />
Card flicking<br />
15:45–16:00 WedET<strong>10</strong>.4<br />
Development of a Low Cost Anthropomorphic<br />
Robot Hand with High Capability<br />
Ji-Hun Bae, Sung-Woo Park, Jae-Han Park, Moon-Hong Baeg<br />
Robot Convergence R&D Group, KITECH, Korea<br />
Doik Kim and Sang-Rok Oh<br />
Interaction and Robotics Research Center, KIST, Korea<br />
• Portable adaptive four-fingered robot hand<br />
• Light-weight anthropomorphic design<br />
• Back-drivable joint for compliant contact<br />
with objects<br />
• Capable of handling objects up to 1.5kg<br />
• Modular type structure for easy repair and<br />
modification<br />
• Low cost less than <strong>10</strong> thousand dollars<br />
KITECH Robotic Hand