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Pick-place of dynamic objects by robot manipulator based on deep learning and easy user interface teaching systems.

, , , и . Ind. Robot, 44 (1): 11-20 (2017)

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Tanja Kaneko

Temmyo Ichiro

Gaël Kaneko

Ichiro Yamaguchi

Kiosuke Kaneko

 

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Pick-place of dynamic objects by robot manipulator based on deep learning and easy user interface teaching systems., , , и . Ind. Robot, 44 (1): 11-20 (2017)Optimal trajectory generation for a prismatic joint biped robot using genetic algorithms., , , , и . Robotics Auton. Syst., 38 (2): 119-128 (2002)Evolution of low-complexity neural controllers based on multiobjective evolution., и . Artif. Life Robotics, 12 (1-2): 53-58 (2008)Vision based sidewalk recognition for walking assistive robot in outdoor environments., , , , и . ROSE, стр. 1-5. IEEE, (2022)Control of legged robots during the multi support phase based on the locally defined ZMP., , , , и . IROS, стр. 2253-2258. IEEE, (2004)Application of Deep Learning for Drone Obstacle Avoidance and Goal Directed Navigation., , и . UR, стр. 453-457. IEEE, (2021)Recycling of printed circuit boards by robot manipulator: A Deep Learning Approach., , , и . ROSE, стр. 1-5. IEEE, (2021)Real Time Robot Policy Adaptation Based on Intelligent Algorithms., , и . EANN/AIAI (2), том 364 из IFIP Advances in Information and Communication Technology, стр. 1-10. Springer, (2011)Outdoor Landmark Detection for Real-World Localization using Faster R-CNN., , , и . ICCMA, стр. 165-169. ACM, (2018)Authenticating Video Streams., , , , и . AINA (1), стр. 863-868. IEEE Computer Society, (2006)