Fetching the paper…
Reading the bibliography…
It is difficult to create robust, reusable, and reactive behaviors for robots that can be easily extended and combined.
R. E. Fikes and N. J. Nilsson, “STRIPS: A new approach to the application of theorem proving to problem solving,” Artificial intelligence , vol. 2, no. 3-4, pp. 189–208, 1971
1971
Earlier work this paper cites.
E. Gat, R. P. Bonnasso, R. Murphy et al. , “On three-layer architectures,” Artificial intelligence and mobile robots , vol. 195, p. 210, 1998
1998
Earlier work this paper cites.
M. Ghallab, A. Howe, C. Knoblock, D. McDermott, A. Ram, M. Veloso, D. Weld, and D. Wilkins, “Pddl—the planning domain definition language,” AIPS-98 planning committee , vol. 3, p. 14, 1998
1998
Earlier work this paper cites.
R. R. Burridge, A. A. Rizzi, and D. E. Koditschek, “Sequential composition of dynamically dexterous robot behaviors,” The International Journal of Robotics Research , vol. 18, no. 6, pp. 534–555, 1999
1999
Earlier work this paper cites.
M. Egerstedt, “Behavior based robotics using hybrid automata,” in International Workshop on Hybrid Systems: Computation and Control . Springer, 2000, pp. 103–116
2000
Earlier work this paper cites.
N. Muscettola, G. A. Dorais, C. Fry, R. Levinson, and C. Plaunt, “Idea: Planning at the core of autonomous reactive agents,” 2002
2002
Earlier work this paper cites.
J. Frank and A. Jónsson, “Constraint-based attribute and interval planning,” Constraints , vol. 8, no. 4, pp. 339–364, 2003
2003
Earlier work this paper cites.
J. L. Bresina, A. K. Jónsson, P. H. Morris, and K. Rajan, “Activity planning for the mars exploration rovers.” in ICAPS , 2005, pp. 40–49
2005
Earlier work this paper cites.
M. Helmert, “The fast downward planning system,” Journal of Artificial Intelligence Research , vol. 26, pp. 191–246, 2006
2006
Earlier work this paper cites.
C. McGann, F. Py, K. Rajan, H. Thomas, R. Henthorn, and R. McEwen, “A deliberative architecture for auv control,” in 2008 IEEE International Conference on Robotics and Automation . IEEE, 2008, pp. 1049–1054
2008
Earlier work this paper cites.
C. McGann, E. Berger, J. Bohren, S. Chitta, B. Gerkey, S. Glaser, B. Marthi, W. Meeussen, T. Pratkanis, E. Marder-Eppstein et al. , “Model-based, hierarchical control of a mobile manipulation platform,” in ICAPS Workshop on Planning and Plan Execution for Real-World Systems, Thessaloniki, Greece , 2009
2009
Cited alongside, same era.
J. Bohren and S. Cousins, “The smach high-level executive [ros news],” IEEE Robotics & Automation Magazine , vol. 17, no. 4, pp. 18–20, 2010
2010
Cited alongside, same era.
2014
Cited alongside, same era.
T. Schmidt, R. A. Newcombe, and D. Fox, “DART: Dense Articulated Real-Time Tracking,” in Robotics: Science and Systems , vol. 2, no. 1, 2014
2014
Cited alongside, same era.
C. Paxton, V. Raman, G. D. Hager, and M. Kobilarov, “Combining neural networks and tree search for task and motion planning in challenging environments,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2017, pp. 6059–6066
2017
Later among the works it cites.
B. Calli, A. Singh, J. Bruce, A. Walsman, K. Konolige, S. Srinivasa, P. Abbeel, and A. M. Dollar, “Yale-CMU-Berkeley dataset for robotic manipulation research,” The International Journal of Robotics Research , vol. 36, no. 3, pp. 261–268, 2017
2017
Later among the works it cites.
2017
Later among the works it cites.
C. Paxton, F. Jonathan, A. Hundt, B. Mutlu, and G. D. Hager, “Evaluating methods for end-user creation of robot task plans,” Intelligent Robots and Systems (IROS), 2018 IEEE International Conference on , 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
M. Toussaint, “Logic-geometric programming: An optimization-based approach to combined task and motion planning,” in Twenty-Fourth International Joint Conference on Artificial Intelligence , 2015
2015
Cited alongside, same era.
C. Eppner, S. Höfer, R. Jonschkowski, R. Martín-Martín, A. Sieverling, V. Wall, and O. Brock, “Lessons from the amazon picking challenge: Four aspects of building robotic systems.” in Robotics: Science and Systems , 2016
2016
Cited alongside, same era.
M. Colledanchise and P. Ögren, “How behavior trees generalize the teleo-reactive paradigm and and-or-trees,” in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2016, pp. 424–429
2016
Cited alongside, same era.
E. Plaku and S. Karaman, “Motion planning with temporal-logic specifications: Progress and challenges,” AI communications , vol. 29, no. 1, pp. 151–162, 2016
2016
Cited alongside, same era.
C. Paxton, A. Hundt, F. Jonathan, K. Guerin, and G. D. Hager, “Costar: Instructing collaborative robots with behavior trees and vision,” in Robotics and Automation (ICRA), 2017 IEEE International Conference on . IEEE, 2017, pp. 564–571
2017
Cited alongside, same era.
F. Rovida, B. Grossmann, and V. Krüger, “Extended behavior trees for quick definition of flexible robotic tasks,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2017, pp. 6793–6800
2017
Cited alongside, same era.
2018
Later among the works it cites.
M. Colledanchise and P. Ögren, “Behavior trees in robotics and AI: An introduction,” 2018
2018
Later among the works it cites.
2018
Later among the works it cites.
2018
Later among the works it cites.
D. Xu, S. Nair, Y. Zhu, J. Gao, A. Garg, L. Fei-Fei, and S. Savarese, “Neural task programming: Learning to generalize across hierarchical tasks,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2018, pp. 1–8
2018
Later among the works it cites.