다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기
로봇학회논문지 = The journal of Korea Robotics Society, v.16 no.2, 2021년, pp.122 - 129
조영훈 (Dept. of Civil and Environmental Engineering, KAIST) , 김아영 (Dept. of Civil and Environmental Engineering, KAIST)
AI-Helper
For the Simultaneous Localization and Mapping (SLAM) problem, a different path results in different SLAM results. Usually, SLAM follows a trail of input data. Active SLAM, which determines where to sense for the next step, can suggest a better path for a better SLAM result during the data acquisitio...
C. Leung, S. Huang, and G. Dissanayake, "Active SLAM using Model Predictive Control and Attractor based Exploration," 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing, China, 2006, DOI: 10.1109/IROS.2006.282530.
E. W. Dijkstra, "A note on two problems in connexion with graphs," Numerische Mathematik, vol. 1, pp. 269-271, 1959, DOI: 10.1007/BF01386390.
P. E. Hart, N. J. Nilsson, and B. Raphael, " A Formal Basis for the Heuristic Determination of Minimum Cost Paths," IEEE Transactions on Systems Science and Cybernetics, vol. 4, no. 2, pp. 100-107, Jul., 1968, DOI: 10.1109/TSSC.1968.300136.
S. Singh, A. Barto, R. Grupen, and C. Connolly, "Robust Reinforcement Learning in Motion Planning," Advances in Neural Information Processing Systems 6 (NIPS 1993), 1993, [Online], https://proceedings.neurips.cc/paper/1993/hash/3d8e28caf901313a554cebc7d32e67e5-Abstract.html.
A. W. Moore and C. G. Atkeson, "The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces," Machine Learning, vol. 21, pp. 199-233, 1995, DOI: 10.1007/bf00993591.
J. J. Park, J. H. Kim, and J. B. Song, "Path planning for a robot manipulator based on probabilistic roadmap and reinforcement learning," International Journal of Control, Automation, and Systems, vol. 5, no. 6, pp. 674-680, 2007, [Online], https://koreauniv.pure.elsevier.com/en/publications/path-planning-fora-robot-manipulator-based-on-probabilistic-road.
B. Zhang, Z. Mao, W. Liu, and J. Liu, "Geometric Reinforcement Learning for Path Planning of UAVs," Journal of Intelligent & Robotic Systems, vol. 77, no. 2, pp. 391-409, 2015, DOI: 10.1007/s10846-013-9901-z.
T. Kollar and N. Roy, "Trajectory Optimization using Reinforcement Learning for M ap Exploration," The International Journal of Robotics Research, vol. 27, no. 2, pp. 175-196, 2008.
L. Murphy and P. Newman, "Risky Planning on Probabilistic Costmaps for Path Planning in Outdoor Environments," IEEE Transactions on Robotics, vol. 29, no. 2, pp. 445-457, 2012, DOI: 10.1109/TRO.2012.2227216.
L. Nardi and C. Stachniss, "Actively Improving Robot Navigation On Different Terrains Using Gaussian Process Mixture Models," 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, DOI: 10.1109/ICRA.2019.8794079.
T. Shan and B. Englot, "LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain," 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018, DOI: 10.1109/IROS.2018.8594299.
A. Dosovitskiy, G. Ros, F. Codevilla, A. Lopez, and V. Koltun, "CARLA: An Open Urban Driving Simulator," 1st Annual Conference on Robot Learning, PMLR, vol. 78, pp. 1-16, 2017, [Online], http://proceedings.mlr.press/v78/dosovitskiy17a.html.
해당 논문의 주제분야에서 활용도가 높은 상위 5개 콘텐츠를 보여줍니다.
더보기 버튼을 클릭하시면 더 많은 관련자료를 살펴볼 수 있습니다.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.