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Many works in robot teaching either focus only on teaching task knowledge, such as geometric constraints, or motion knowledge, such as the motion for accomplishing a task.
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S. Tadokoro, M. Aikawa, and K. Ichimichi, “An analysis of human upper extremity motions,” The Japanese Journal of Ergonomics , vol. 26, no. 1, pp. 41–47, 1990
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K. Ikeuchi and T. Suehiro, “Toward an assembly plan from observation. i. task recognition with polyhedral objects,” IEEE transactions on robotics and automation , vol. 10, no. 3, pp. 368–385, 1994
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S. Schaal, “Dynamic movement primitives-a framework for motor control in humans and humanoid robotics,” in Adaptive motion of animals and machines . Springer, 2006, pp. 261–280
2006
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A. Billard, S. Calinon, R. Dillmann, and S. Schaal, “Survey: Robot programming by demonstration,” Handbook of robotics , vol. 59, no. BOOK_CHAP, 2008
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B. Dariush, M. Gienger, A. Arumbakkam, Y. Zhu, B. Jian, K. Fujimura, and C. Goerick, “Online transfer of human motion to humanoids,” International Journal of Humanoid Robotics , vol. 6, no. 02, pp. 265–289, 2009
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B. D. Argall, S. Chernova, M. Veloso, and B. Browning, “A survey of robot learning from demonstration,” Robotics and autonomous systems , vol. 57, no. 5, pp. 469–483, 2009
2009
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K. Yamane, Y. Ariki, and J. Hodgins, “Animating non-humanoid characters with human motion data,” in Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation , 2010, pp. 169–178
2010
Cited alongside, same era.
G. K. Singh and J. Claassens, “An analytical solution for the inverse kinematics of a redundant 7dof manipulator with link offsets,” in Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on . IEEE, 2010, pp. 2976–2982
2010
Cited alongside, same era.
D. Lee and C. Ott, “Incremental kinesthetic teaching of motion primitives using the motion refinement tube,” Autonomous Robots , vol. 31, no. 2-3, pp. 115–131, 2011
2011
Cited alongside, same era.
B. Akgun, M. Cakmak, J. W. Yoo, and A. L. Thomaz, “Trajectories and keyframes for kinesthetic teaching: A human-robot interaction perspective,” in Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction , 2012, pp. 391–398
2012
S. Starke, N. Hendrich, and J. Zhang, “A memetic evolutionary algorithm for real-time articulated kinematic motion,” in 2017 IEEE Congress on Evolutionary Computation (CEC) . IEEE, 2017, pp. 2473–2479
2017
Later among the works it cites.
A. Bajcsy, D. P. Losey, M. K. O’Malley, and A. D. Dragan, “Learning from physical human corrections, one feature at a time,” in Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction . ACM, 2018, pp. 141–149
2018
Later among the works it cites.
K. Ikeuchi, Z. Ma, Z. Yan, S. Kudoh, and M. Nakamura, “Describing upper-body motions based on labanotation for learning-from-observation robots,” International Journal of Computer Vision , vol. 126, no. 12, pp. 1415–1429, 2018
2018
Later among the works it cites.
K. Sasabuchi, H. Yaguchi, K. Nagahama, S. Hori, H. Mizohana, and M. Inaba, “The seednoid robot platform: Designing a multi-purpose compact robot from continuous evaluation and lessons from competitions,” IEEE Robotics and Automation Letters , vol. 3, no. 4, pp. 3983–3990, 2018
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Cited alongside, same era.
A. H. Guest, Labanotation: the system of analyzing and recording movement . Routledge, 2014
2014
Cited alongside, same era.
J. Campbell and H. B. Amor, “Bayesian interaction primitives: A slam approach to human-robot interaction,” in Conference on Robot Learning , 2017, pp. 379–387
2017
Cited alongside, same era.
T. Welschehold, C. Dornhege, and W. Burgard, “Learning mobile manipulation actions from human demonstrations,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2017, pp. 3196–3201
2017
Cited alongside, same era.
C. Pérez-D’Arpino and J. A. Shah, “C-learn: Learning geometric constraints from demonstrations for multi-step manipulation in shared autonomy,” in 2017 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2017, pp. 4058–4065
2017
Cited alongside, same era.
2018
Later among the works it cites.
T. Welschehold, N. Abdo, C. Dornhege, and W. Burgard, “Combined task and action learning from human demonstrations for mobile manipulation applications,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2019
2019
Later among the works it cites.
T. Yamamoto, K. Terada, A. Ochiai, F. Saito, Y. Asahara, and K. Murase, “Development of human support robot as the research platform of a domestic mobile manipulator,” ROBOMECH journal , vol. 6, no. 1, p. 4, 2019
2019
Later among the works it cites.
2020
Closest in time.
N. Wake, R. Arakawa, I. Yanokura, T. Kiyokawa, K. Sasabuchi, J. Takamatsu, and K. Ikeuchi, “A learning-from-observation framework: One-shot robot teaching for grasp-manipulation-release household operations,” in 2021 IEEE/SICE International Symposium on System Integration (SII) . IEEE, 2021
2021
Closest in time.