Fetching the paper…
Reading the bibliography…
Learning from demonstrations is a promising paradigm for transferring knowledge to robots.
1908
Earlier work this paper cites.
I. A. and, “A nonparametric estimation of the entropy for absolutely continuous distributions (corresp.),”
1976
Earlier work this paper cites.
S. Calinon, F. Guenter, and A. Billard, “On learning, representing, and generalizing a task in a humanoid robot,”
2007
Earlier work this paper cites.
H. Pasula, L. Zettlemoyer, and L. Kaelbling, “Learning symbolic models of stochastic domains,”
2007
Earlier work this paper cites.
B. Argall, S. Chernova, M. Veloso, and B. Browning, “A survey of robot learning from demonstration,”
2009
Earlier work this paper cites.
P. Pastor, H. Hoffmann, T. Asfour, and S. Schaal, “Learning and generalization of motor skills by learning from demonstration,” in
2009
Earlier work this paper cites.
S. Calinon, F. D’halluin, D. Caldwell, and A. Billard, “Handling of multiple constraints and motion alternatives in a robot programming by demonstration framework,” in
2009
Earlier work this paper cites.
M. Muhlig, M. Gienger, J. Steil, and C. Goerick, “Automatic selection of task spaces for imitation learning,” in
2009
Earlier work this paper cites.
C. Dornhege, P. Eyerich, T. Keller, S. Trüg, M. Brenner, and B. Nebel, “Semantic attachments for domain-independent planning systems,” in
2009
Earlier work this paper cites.
J. Wolfe, B. Marthi, and S. J. Russell, “Combined task and motion planning for mobile manipulation,” in
2010
Cited alongside, same era.
S. Calinon, Z. Li, T. Alizadeh, N. G. Tsagarakis, and D. G. Caldwell, “Statistical dynamical systems for skills acquisition in humanoids,” in
2012
Cited alongside, same era.
C. Browne, E. Powley, D. Whitehouse, S. Lucas, P. Cowling, P. Rohlfshagen, S. Tavener, D. Perez, S. Samothrakis, and S. Colton, “A survey of monte carlo tree search methods,”
2012
Cited alongside, same era.
T. Keller and M. Helmert, “Trial-based heuristic tree search for finite horizon mdps,” in
2013
Cited alongside, same era.
G. Konidaris, L. P. Kaelbling, and T. Lozano-Perez, “Constructing symbolic representations for high-level planning,” in
2014
Cited alongside, same era.
C. Paxton, F. Jonathan, M. Kobilarov, and G. D. Hager, “Do what i want, not what i did: Imitation of skills by planning sequences of actions,” in
2016
Later among the works it cites.
T. Welschehold, C. Dornhege, and W. Burgard, “Learning mobile manipulation actions from human demonstrations,” in
2017
Later among the works it cites.
N. Abdo, “Learning to solve manipulation tasks from non-expert users in human-centered environments, chapter 5,” Ph.D. dissertation, Albert-Ludwigs-Universität Freiburg, 2017. [Online]. Available:
2017
Later among the works it cites.
T. Welschehold, N. Abdo, C. Dornhege, and W. Burgard, “Towards learning task intentions from human demonstrations,” in
2017
Later among the works it cites.
J. R. Medina and A. Billard, “Learning stable task sequences from demonstration with linear parameter varying systems and hidden markov models,” in
2017
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
R. P. A. Petrick and A. Gaschler, “Extending knowledge-level contingent planning for robot task planning,” in
2014
Cited alongside, same era.
S. Niekum, S. Osentoski, G. Konidaris, S. Chitta, B. Marthi, and A. G. Barto, “Learning grounded finite-state representations from unstructured demonstrations,”
2015
Cited alongside, same era.
M. Toussaint, “Logic-geometric programming: An optimization-based approach to combined task and motion planning,” in
2015
Cited alongside, same era.
S. Höfer and O. Brock, “Coupled learning of action parameters and forward models for manipulation,”
2016
Cited alongside, same era.
Later among the works it cites.
M. Toussaint, K. R. Allen, K. A. Smith, and J. B. Tenenbaum, “Differentiable physics and stable modes for tool-use and manipulation planning,” in
2018
Later among the works it cites.
T. Welschehold, C. Dornhege, F. Paus, T. Asfour, and W. Burgard, “Coupling mobile base and end-effector motion in task space,” in
2018
Later among the works it cites.
C. Zimmermann, T. Welschehold, C. Dornhege, T. Brox, and W. Burgard, “3d human pose estimation in rgbd images for robotic task learning,” in
2018
Later among the works it cites.