Showing results 195381 to 195400 of 279407
Task Intelligence of Robots: Neural Model-Based Mechanism of Thought and Online Motion Planning Jeong, Inbae; Ko, Woo-Ri; Park, Gyeongmoon; Kim, Deok Hwa; Yoo, Yong Ho; Kim, Jong-Hwan, IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, v.1, no.1, pp.41 - 50, 2017-02 |
Task Modeling for Intelligent Service Robot using Hierarchical Task Analysis Kim, HR; Kwon, Dong-Soo, Proc. of the 2004 FIRA Robot World Congress, FIRA, 2004-10-26 |
Task Oriented Design of Robot Kinematics using Grid Method Pyung-Hun Chang, HWRS, pp.10 - 21, 2002-01-01 |
Task Oriented Design of Robot Kinematics using Grid Method Chang, Pyung Hun; Park, Joon-Young; Yang, Jeong-Yean, International Workshop on Human-friendly Welfare Robotic Systems, pp.10-21, 2002-01 |
Task Oriented Design of Robot Kinematics using Grid Method and Its Applications to Nuclear Power Plant Pyung-Hun Chang, International symposium on Artificial Intelligence, Robotics and Human Centered Technology for Nuclear applications, pp.114 - 123, 2002-01-01 |
Task Oriented Optimum Positioning of a Mobile Manipulator Base in a Cluttered Environment PARK, YOUNG SOO; Cho, Hyungsuck, JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, v.18, no.2, pp.147 - 168, 1997 |
Task partition schemes for parallel processing based on petri net execution models = 패트리 망 수행 모델에 기초를 둔 병렬처리를 위한 일 분할 방법link Chung, Won-Ho; 정원호; et al, 한국과학기술원, 1989 |
Task partitioning algorithm for intra-task dynamic voltage scaling Oh, S.; Kim, J.; Kim, S.; Kyung, Chong-Min, 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008, pp.1228 - 1231, 2008-05-18 |
Task planning for service robots with limited feedback Park, Chung Woon; Lee, Jung woo; Lim, Jong Tae, International Conference on Control, Automation, Robotics and Vision, pp.1636 - 1638, World Academy of Science, Engineering and Technology, 2012-12-26 |
Task planning for service robots with optimal supervisory control Jo, H.-W.; Ahn, J.-H.; Park, J.-S.; Oh, J.-H.; Lim, Jong-Tae, 2010 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2010, pp.303 - 308, RAM, 2010-06-28 |
Task Recommendation for Group Users in Public IoT Environments Lee, Jin-Seo; Kim, MinHyeop; Ko, In-Young, IEEE/WIC/ACM International Conference on Web Intelligence(WI), pp.33 - 40, IEEE/WIC/ACM, 2018-12-05 |
Task recommendation for group users in public ioT environments = 공공 사물인터넷 환경에서의 그룹 사용자를 위한 태스크 추천 기법link Lee, Jinseo; Ko, In-Young; et al, 한국과학기술원, 2017 |
Task Scheduling of Agile Satellites with Transition Time and Stereoscopic Imaging Constraints Kim, Junhong; Ahn, Jaemyung; Choi, Han-Lim; Cho, Doo-Hyun, JOURNAL OF AEROSPACE INFORMATION SYSTEMS, v.17, no.6, pp.285 - 293, 2020-06 |
Task scheduling with feedback latency for real-time control systems Kim, Byung Kook, 5-th Int. Conf. on Real-Time Computing Systems and Applications, pp.37 - 41, IEEE, 1998-10 |
Task space dynamic analysis for multi-arm robot using isotropic velocity and acceleration radii Kim, CY; Yoon, Yong-San, ROBOTICA, v.15, no.3, pp.319 - 329, 1997 |
Task space-based control of an underwater robotic system for position keeping in ocean currents Kim, Yonghyun; Mohan, Santhakumar; Kim, Jinwhan, ADVANCED ROBOTICS, v.28, no.16, pp.1109 - 1119, 2014 |
Task Space-based Dynamic Positioning for Tandem Loading Operation between FPSO and Shuttle tanker 이형배; 김진환, 2013년도 대한조선학회 춘계 학술대회, 대한조선학회, 2013-05-23 |
Task-adaptive class division for transductive few-shot learning = Transductive 퓨샷 러닝을 위한 과제 적응형 집단 분할 기법link Park, Keunchul; Kim, Changick; et al, 한국과학기술원, 2021 |
Task-Adaptive Neural Network Search with Meta-Contrastive Learning Jeong, Wonyong; Lee, Hayeon; Park, Geon; Hyung, Eunyoung; Baek, Jinheon; Hwang, Sung Ju, 35th Conference on Neural Information Processing Systems (NeurIPS) 2021, Conference on Neural Information Processing Systems (NeurIPS), 2021-12-09 |
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data Park, Dongmin; Song, Hwanjun; Kim, MinSeok; Lee, Jae-Gil, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems, 2021-12-10 |
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