Seungmin Beak
Research Professor


Email address: smb@skku.edu
Office: 83654
Phone: 031-666-6666


Mailing address:
SungKyunKwan University
Intelligent System Research Center (ISRC)
Nano and Intelligent System Lab
83654 2nd Research building
300 Cheoncheon-dong, Jangan-gu,
Suwon, Gyeonggi-do
440 - 746
Korea


Research interests:

This project explores a behavior planning approach to automatically generate realistic motions for animated characters. Motion clips are abstracted as high-level behaviors and associated with a behavior finite-state machine (FSM) that defines the movement capabilities of a virtual character. During runtime, motion is generated automatically by a planning algorithm that performs a global search of the FSM and computes a sequence of behaviors for the character to reach a user-designated goal position. Our technique can generate interesting animations using a relatively small amount of data, making it attractive for resource-limited game platforms. It also scales efficiently to large motion databases, because the search performance is primarily dependent on the complexity of the behavior FSM rather than on the amount of data. Heuristic cost functions that the planner uses to evaluate candidate motions provide a flexible framework from which an animator can control character preferences for certain types of behavior. We show results of synthesized animations involving up to one hundred human and animal characters planning simultaneously in both static and dynamic environments.
 


Recent publications:

  • Cognitive Robotic Engine: Behavioral Perception Architecture for Human-Robot Interaction
    Sukhan Lee, Seungmin Beak and Jangwon Lee
    Book Chapter, Human-Robot Interaction, International journal of advanced robotic systems, 2007

  • Dependable 3D Recognition and Modeling for Visually Guided Robotic Manipulation and Navigation
    Sukhan Lee, Jeihun Lee, Seungmin Beak, Dongju Moon and Woong-Myung Kim
    The 5th IARP-IEEE/RAS-EURON Workshop on Technical Challenges for Dependable Robots in Human Environments (IARP07), 2007

  • Particle Filter Based Robust Recognition and Pose Estimation of 3D Objects in a sequence of images
    Sukhan Lee, Jeihun Lee, Seungmin Beak and Changhyun Choi
    Lecture Notes In Control and Information Sciences, 2007

  • Caller Identification Based on Cognitive Robotic Engine
    Sukhan Lee, Hun-Sue Lee, Seungmin Beak, Jongmoo Choi and Dongwook Shin
    IEEE International Symposium on Robot Human Interactive Communication (RO-MAN), 2006



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    300 Cheoncheon-dong, jangan-gu, Suwon, Gyeonggi-do, 440-746, Korea

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