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The 11th Advanced Mechanism Control Symposium and the 11th YNOYT Lab Reunion are organized, for the first time, with the Robotics Laboratory of Seoul National University. The first joint robotics workshop between Robotics, Dynamics, and Control Laboratory (Prof. Y. Nakamura and Prof. W. Takano) of the University of Tokyo and Robotics Laboratory (Prof. F.C. Park) of Seoul National University was planned to exchange the most updated research results in the informal and friendly style to stimulate discussions of all the participants, in particular, of students of the both universities. The whole program welcomes the members of the both laboratories and the alumni of the laboratory of the University of Tokyo. All the participants are requested to sign NDA. The program includes the sports workshop for the participants at the Gotenshita Gymnasium of the University of Tokyo on February 17th and the full-day technical workshop on February 18th. The banquet and the YNOYT lab reunion is on February 18th at Brasserie Paul Bocuse le Musee, inside the National Art Center, Tokyo.


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09:30 - 10:00 ÅÐÏ¿

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10:30 - 10:50 ±¿Æ°¤È¸À¸ì¤Î´Ö¤ÎÀøºß¹½Â¤Ãê½Ð¤Ë¤è¤ë¥í¥Ü¥Ã¥È¤Î³µÇ°³ÍÆÀ
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10:50 - 11:10 ´Ä¶­¤È±¿Å¾¤ÎÅý·×ŪʬÎà¤Ë¤è¤ë¸òḀ̈ǡ¼¥¿¥Ù¡¼¥¹¤Î¹½ÃۤȤ½¤Î±¿Å¾»Ù±ç¤Ø¤Î±þÍÑ
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11:10 - 11:30 Machine Learning Algorithms for Transformation-Invariant Object Recognition
ȯɽ¼Ô¡§Yungkyun Noh, SNU

11:30 - 11:50 Tangent Bundle RRT: A Randomized Algorithm for Constrained Robot Motion Planning
ȯɽ¼Ô¡§Beobkyoon Kim, SNU

11:50 - 12:10 Geometric Optimization and Clustering Algorithms for Medical Imaging Problems
ȯɽ¼Ô¡§Minyeon Han, SNU

12:10 - 13:00 Ãë¿©

13:00 - 13:20 ÆðÛÀÝÆ°Ë¡¤ª¤è¤Ó¼õÆ°À­¤Ë´ð¤Å¤¤¤¿Åŵ¤ÀÅÌý°µ¥¢¥¯¥Á¥å¥¨¡¼¥¿¤ÎÀ©¸æ
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13:20 - 13:40 ¥Ç¥¸¥¿¥ë¥È¥ë¥¯¥¨¥ó¥³¡¼¥À¤òÍѤ¤¤¿ÎÏ´¶±þ´ØÀᵡ¹½¤ÎÀ߷פÈÀ©¸æ
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13:40 - 14:00 Exploiting Compliance for Extreme Robot Motions: Case Studies from Sports
ȯɽ¼Ô¡§Jeongseok Lee, SNU

14:00 - 14:20 Robot Motion Optimization via Dimension Reduction
ȯɽ¼Ô¡§Hyuk Kang, SNU

14:20 - 14:40 Design and Control of Personal Mobility with Spherical Wheels Composed of Serial Kinematic Chain
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14:40 - 15:00 Dynamically Stable Mobile Manipulation via Invariance Control
ȯɽ¼Ô¡§Sohee Lee, SNU

15:00 - 17:00 ¸¦µæ¼¼¸«³Ø¡ÊCyber Behavior Studio¡Ê1³¬¡Ë¡¤¸¦µæ¼¼¡Ê8³¬¡Ë¡¤ ¹©³ØÉô2¹æ´Û¡Ë
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P1 Vector Field RRT: Introducing Optimization into Randomized Motion Planning
ȯɽ¼Ô¡§Inyoung Ko, SNU
P2 The effect of Muscle Models on Whole-Body Optimization"
ȯɽ¼Ô¡§Hyungan Oh, SNU
P3 Efficient and Reliable Algorithms for Sports Motion Optimization
ȯɽ¼Ô¡§Minkyu Kim and Jisoo Hong, SNU
P4 Halteres: Long Jumping during the Ancient Olympics
ȯɽ¼Ô¡§Kibum Suh, SNU
P5 Reconciling the Equilibrium Point Hypothesis with Minimum Variance Control: Towards a Unifying Principle of Human Motor Control
ȯɽ¼Ô¡§Donghyun Kim, SNU
P6 Grasp Synthesis via Machine Learning
ȯɽ¼Ô¡§Byungchul An, SNU
P7 A Stochastic Framework for Activity Recognition
ȯɽ¼Ô¡§Alchan Yoon, SNU
P8 Harmonic Map based Nonlinear Manifold Learning
Presenter:Junhyung Ha, SNU
P9 Sampling-based Motion Planning on Disjointed Manifolds: Manipulation under Task and Obstacle Constraints
Presenter:Jinkyu Kim, SNU
P10 Development of Screw Pumps for Electro-Hydrostatic Actuators of Humanoid Robots
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P11 Energy Accumulator in Electro-Hydrostatic Drive Mechanism for Humanoid Robots
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P12 Bi-Articular Electro-Hydrostatic Drive Mechanism for Lower Limbs of Humanoid Robots
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P13 Reconstruction of Human Motion Using Image Moments from Single Viewpoint Video
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P14 Â絬Ìϱ¿Æ°¥Ç¡¼¥¿¤Î¹â®¸¡º÷¤Ë¤è¤ë¥ê¥¢¥ë¥¿¥¤¥à¹Ôưǧ¼±
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P15 Understanding Human Behavior from Correlation of Motion and Object
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P16 Motion Planning of Humanoid Robots Biased by Hidden Markov Model
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