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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> 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

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