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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> WedFT5 Gemini 2 <strong>Wednesday</strong>, <strong>October</strong> <strong>10</strong>, <strong>2012</strong>, 16:15–17:30<br />

Contact Modeling<br />

Chair Rui Cortesao, Univ. of Coimbra<br />

Co-Chair<br />

16:15–16:30 WedFT5.1<br />

Synthesis and Stabilization of Complex Behaviors<br />

through Online Trajectory Optimization<br />

Yuval Tassa, Tom Erez and Emanuel Todorov<br />

Computer Science & Engineering, University of Washington, USA<br />

• Online trajectory optimization<br />

method and software platform.<br />

• iterative-LQG trajectory optimizer.<br />

• Fast, in-house physics engine with<br />

novel contact models.<br />

• Full humanoid behavior generated in<br />

7 x slower than realtime, simpler<br />

problems already in real-time.<br />

• Nothing is precomputed, no heuristic<br />

approximations to the Value function<br />

are used.<br />

Humanoid getting up<br />

16:45–17:00 WedFT5.3<br />

Robust Sensing of Contact Information for<br />

Detection of the Physical Properties of an Object<br />

Takashi Takua, Ken Takamine, and Tatsuya Masuda<br />

Department of Electrical and Electronic Systems Engineering,<br />

Osaka Institute of Technology, Japan<br />

• Robust sensing that estimate the contact information, reaction force from<br />

the object and consequent joint displacement during pushing the object, is<br />

proposed<br />

• Using certain kinetic and kinematic relationships on 1-DoF joint<br />

mechanism and physical property of the McKibben pneumatic actuator,<br />

the relationships among magnitude of the force on the contact point, the<br />

joint angle, and the inner pressure of the actuator are derived.<br />

• The relationship is evaluated using<br />

physical 1-DoF joint mechanism, and,<br />

elasticity of the object is estimated by<br />

using the relationships.<br />

• Experiments show that the robust<br />

sensing of the contact information<br />

that avoids attaching the sensors on<br />

the contact point and the joint can be<br />

obtained, and that physical property<br />

of the object can be estimated.<br />

17:15–17:30 WedFT5.5<br />

Comparison of Position and Force-Based<br />

Techniques for Environment Stiffness<br />

Estimation in Robotic Tasks<br />

Fernanda Coutinho and Rui Cortesão<br />

Institute of Systems and Robotics, University of Coimbra, Portugal<br />

• In this paper, we compare the results of position-based stiffness<br />

estimation algorithms with those obtained by COBA.<br />

• COBA is an online stiffness estimation algorithm based on force data<br />

only.<br />

• COBA avoids some problems that can negatively affect the<br />

performance of position-based algorithms.<br />

16:30–16:45 WedFT5.2<br />

Trajectory optimization for domains with contacts<br />

using inverse dynamics<br />

Tom Erez and Emanuel Todorov<br />

Computer Science, UW-Seattle, USA<br />

• Trajectory optimization in domains with contact (e.g., ground reaction<br />

forces) is notoriously hard due to the discontinuities at impact.<br />

• We use a soft contact model that can be used with both forward and<br />

inverse dynamics, thereby formulating a continuous optimization problem.<br />

• The algorithm was applied to a 3D simulated humanoid running domain<br />

with 31 degrees of freedom. After ~2500 Newton steps (~<strong>10</strong> minutes on a<br />

standard desktop) a complex running gait emerges.<br />

• Almost all computation time is spent on finite-differencing the dynamics.<br />

Since this bottleneck is trivially parallelizable, our approach stands to<br />

benefit from Moore’s law and any other improvements in parallel CPU<br />

architecture.<br />

17:00–17:15 WedFT5.4<br />

Modeling and Simulation of Friction Forces during<br />

Needle Insertion Using Local Constraint Method<br />

Lijuan Wang, Zhongkui Wang, and Shinichi Hirai<br />

Department of Robotics, Ritsmeikan University, Japan<br />

• In the modern clinical practice, accurate<br />

orientation inside soft tissue is difficult to<br />

achieve, because of complicated tissue<br />

deformations and the interaction forces.<br />

• A dynamic model of needle insertion with<br />

friction forces is proposed based on the<br />

Finite Element Method (FEM).<br />

• The relative velocity and contact length are<br />

considered as the main factors of friction<br />

forces during needle insertion.<br />

• Simulations using Local Constraint Method<br />

(LCM) are proposed. Local constraints and<br />

friction forces are calculated and applied<br />

onto the tissue frame to avoid remeshing.<br />

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

–174–<br />

A series of Local Regions along<br />

the needle insertion path.

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