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> WedBT4 Fenix 3 <strong>Wednesday</strong>, <strong>October</strong> <strong>10</strong>, <strong>2012</strong>, 09:30–<strong>10</strong>:30<br />
Humanoid Robots III<br />
Chair Paul Y. Oh, Drexel Univ.<br />
Co-Chair<br />
09:30–09:45 WedBT4.1<br />
Design Methodology for the Thorax and Shoulder of<br />
Human Mimetic Musculoskeletal Humanoid Kenshiro<br />
-A Thorax structure with Rib like Surface -<br />
Toyotaka Kozuki,Hironori Mizoguchi,Yuki Asano,Masahiko Osada,<br />
Takuma Shirai,Urata Junichi,Yuto Nakanishi,Kei Okada,Masayuki Inaba<br />
Univ.of Tokyo, Japan<br />
• Design concept of Detailed<br />
Musculoskeletal Humanoid<br />
Kenshiro’s Upper limb<br />
• Joint Structure<br />
• Muscle Arrangement<br />
• Range of Motion<br />
• Mechanical Key Points<br />
of the Upper Limb<br />
• Rib like Thorax<br />
• Planar muscle<br />
• Muscle Cushion<br />
• Open Sphere Joint<br />
Prototype of Human Mimetic<br />
Musculoskeletal Humanoid<br />
“Kenshiro” Upper Limbs<br />
<strong>10</strong>:00–<strong>10</strong>:15 WedBT4.3<br />
Dynamic motion imitation of two articulated systems<br />
using nonlinear time scaling of joint trajectories<br />
Karthick Munirathinam, Sophie Sakka, Christine Chevallereau<br />
IRCCyN, Robotics Team, Ecole centrale de nantes,<br />
Nantes, France<br />
• An approach for motion imitation of<br />
articulated systems with balance and<br />
physical constraints using optimization.<br />
• We modify the temporal evolution of joint<br />
motion rather than the traditional way of<br />
formulating on geometric evolution of joint<br />
motion of the imitating system.<br />
• Time scaling based imitation has an<br />
immanent advantage of tracking the joint<br />
trajectory of the reference system by<br />
compromising on joint velocity and<br />
acceleration.<br />
• Simulations are carried out to validate our<br />
proposed method.<br />
Model: Foot connected to n-serial<br />
links(n=4)<br />
09:45–<strong>10</strong>:00 WedBT4.2<br />
State Estimation of a Walking<br />
Humanoid Robot<br />
Xinjilefu and Christopher G. Atkeson<br />
Robotics Institute, Carnegie Mellon University, USA<br />
• We compare two approaches to designing<br />
Kalman filters for walking systems.<br />
• One design uses LIPM dynamics, the<br />
other uses more complete Planar<br />
dynamics.<br />
• LIPM design is more robust to modeling<br />
error<br />
• Planar design estimates COM height and<br />
joint velocities, and tracks horizontal COM<br />
translation more accurately.<br />
• We also investigate different ways of<br />
handling contact states and force sensing<br />
in state estimation.<br />
<strong>2012</strong> IEEE/RSJ International Conference on Intelligent Robots and Systems<br />
–132–<br />
The Sarcos Humanoid Robot<br />
<strong>10</strong>:15–<strong>10</strong>:30 WedBT4.4<br />
The Anatomy of a Fall: Automated Real-time<br />
Analysis of Raw Force Sensor Data from<br />
Bipedal Walking Robots and Humans<br />
Petar Kormushev, Luca Colasanto,<br />
Nikolaos G. Tsagarakis, and Darwin G. Caldwell<br />
Advanced Robotics, Istituto Italiano di Tecnologia, Italy<br />
Barkan Ugurlu<br />
Control Systems, Toyota Technological Institute, Japan<br />
• Algorithms for automated analysis<br />
of ground reaction force data<br />
• Automatically detect single, double<br />
support, and swing phases, heel<br />
strikes, phase transitions, etc.<br />
• Detect early indications of<br />
instability that could lead to a fall.<br />
• Approach: generic, model-free,<br />
parameter-free, robust, efficient<br />
• Three experiments on: compliant<br />
humanoid robot COMAN, stiff robot<br />
HOAP-2, and a human subject