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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> WedAT2 Fenix 2 <strong>Wednesday</strong>, <strong>October</strong> <strong>10</strong>, <strong>2012</strong>, 08:30–09:30<br />

Physical Human-Robot Interaction I<br />

Chair Yasuhisa Hirata, Tohoku Univ.<br />

Co-Chair Dongheui Lee, Tech. Univ. of Munich<br />

08:30–08:45 WedAT2.1<br />

Wire-type Human Support System<br />

Controlled by Servo Brakes<br />

Yasuhisa Hirata, Yuki Tozaki and Kazuhiro Kosuge<br />

Department of Bioengineering and Robotics, Tohoku University, Japan<br />

• This paper presents a wire-type motion<br />

support system controlled by servo<br />

brakes.<br />

• This paper focuses on the feasible braking<br />

force region of the system.<br />

• We proposes the conditions for realizing<br />

the system with a large feasible braking<br />

force region, even if we do not use a large<br />

number of brake units.<br />

• We conduct path-following experiments<br />

considering table tennis as an example of<br />

sports training.<br />

Sport Training by using Wire-type<br />

Motion Support System<br />

09:00–09:15 WedAT2.3<br />

Elastic Strips<br />

Implementation on a Physical Humanoid Robot<br />

Jinsung Kwon and Oussama Khatib<br />

Stanford University, USA<br />

Taizo Yoshikawa<br />

Honda Research Institute USA, inc., USA<br />

• The Elastic Strip framework is a reactive motion modification<br />

approach for high d.o.f. robot tasks under real-time conditions.<br />

• The approach is implemented and tested on a humanoid<br />

robot.<br />

• The humanoid robot is able to reach a goal position by<br />

following the elastic strip path which is updated in real-time.<br />

08:45–09:00 WedAT2.2<br />

Real-time Estimate of Period Derivatives using Adaptive<br />

Oscillators: Application to Impedance-Based Walking Assistance<br />

R. Ronsse 1 , S.M.M. De Rossi 2 , N. Vitiello 2 , T. Lenzi 2 , B. Koopman 3 ,<br />

H. van der Kooij 3 , M.C. Carrozza 2 , and A.J. Ijspeert 4<br />

1 Institute of Mechanics, Materials and Civil Engineering,<br />

Université catholique de Louvain, Belgium<br />

2 BioRobotics Institute, Scuola Superiore Sant’Anna, Italy<br />

3 Biomechanical Engineering Laboratory, University of Twente, The<br />

Netherlands<br />

4 Biorobotics Laboratory, EPFL, Switzerland<br />

• New approach to infer velocity and<br />

acceleration from a noisy quasi-periodic<br />

position signal.<br />

• Using adaptive oscillators.<br />

• Measurement noise is filtered out AND<br />

estimates are delay-free with respect to<br />

the actual derivatives.<br />

• Validation with an impedance-based<br />

strategy for assisting human walking in the<br />

LOPES device.<br />

• Intrinsically stable method.<br />

Knee velocity and acceleration during<br />

walking. Black: actual kinematics; blue:<br />

Kalman filter; red: new approach.<br />

09:15–09:30 WedAT2.4<br />

6D Workspace Constraints<br />

for Physical Human-Robot Interaction using<br />

Invariance Control with Chattering Reduction<br />

Melanie Kimmel Martin Lawitzky Sandra Hirche<br />

Institute of Automatic Control Engineering<br />

Technische Universität München, Germany<br />

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

–120–

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