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We consider the problem of learning user preferences over robot trajectories for environments rich in objects and humans.
J. J. Gibson, The ecological approach to visual perception . Routledge, 1986
1986
Earlier work this paper cites.
S. M. LaValle and J. J. Kuffner, “Randomized kinodynamic planning,” IJRR , vol. 20, no. 5, 2001
2001
Earlier work this paper cites.
P. Leven and S. Hutchinson, “Using manipulability to bias sampling during the construction of probabilistic roadmaps,” IEEE Trans. on Robotics and Automation , vol. 19, no. 6, 2003
2003
Earlier work this paper cites.
A. T. Miller and P. K. Allen, “Graspit! a versatile simulator for robotic grasping,” Robotics & Automation Magazine, IEEE , vol. 11, no. 4, 2004
2004
Earlier work this paper cites.
M. Bennewitz, W. Burgard, G. Cielniak, and S. Thrun, “Learning motion patterns of people for compliant robot motion,” IJRR , 2005
2005
Earlier work this paper cites.
N. Ratliff, J. A. Bagnell, and M. Zinkevich, “Maximum margin planning,” in ICML , 2006
2006
Earlier work this paper cites.
D. D. Ferguson and A. Stentz, “Anytime rrts,” in IROS , 2006
2006
Earlier work this paper cites.
E. A. Sisbot, L. F. Marin-Urias, R. Alami, and T. Simeon, “A human aware mobile robot motion planner,” IEEE Transactions on Robotics , 2007
2007
Earlier work this paper cites.
E. Şahin, M. Çakmak, M. R. Doğar, E. Uğur, and G. Üçoluk, “To afford or not to afford: A new formalization of affordances toward affordance-based robot control,” Adaptive Behavior , vol. 15, no. 4, pp. 447–472, 2007
2007
Earlier work this paper cites.
E. A. Sisbot, L. F. Marin, and R. Alami, “Spatial reasoning for human robot interaction,” in IROS , 2007
2007
Earlier work this paper cites.
L. Montesano, M. Lopes, A. Bernardino, and J. S.-Victor, “Learning object affordances: from sensory–motor coordination to imitation,” IEEE Transactions on Robotics , 2008
2008
Earlier work this paper cites.
N. Curtis and J. Xiao, “Efficient and effective grasping of novel objects through learning and adapting a knowledge base,” in IROS , 2008
2008
Earlier work this paper cites.
D. Katz, Y. Pyuro, and O. Brock, “Learning to manipulate articulated objects in unstructured environments using a grounded relational representation,” in RSS , 2008
2008
Earlier work this paper cites.
C. D. Manning, P. Raghavan, and H. Schütze, Introduction to information retrieval . Cambridge University Press Cambridge, 2008, vol. 1
2008
Earlier work this paper cites.
N. Ratliff, M. Zucker, J. A. Bagnell, and S. Srinivasa, “Chomp: Gradient optimization techniques for efficient motion planning,” in ICRA , 2009
2009
Earlier work this paper cites.
B. D. Ziebart, N. Ratliff, G. Gallagher, C. Mertz, K. Peterson, J. A. Bagnell, M. Hebert, A. K. Dey, and S. Srinivasa, “Planning-based prediction for pedestrians,” in IROS , 2009
2009
Earlier work this paper cites.
S. Karaman and E. Frazzoli, “Incremental sampling-based algorithms for optimal motion planning,” in RSS , 2010
2010
Cited alongside, same era.
R. Diankov, “Automated construction of robotic manipulation programs,” Ph.D. dissertation, CMU, RI, August 2010
2010
Cited alongside, same era.
P. Abbeel, A. Coates, and A. Y. Ng, “Autonomous helicopter aerobatics through apprenticeship learning,” IJRR , vol. 29, no. 13, 2010
2010
Cited alongside, same era.
L. Jaillet, J. Cortés, and T. Siméon, “Sampling-based path planning on configuration-space costmaps,” IEEE TRO , vol. 26, no. 4, 2010
2010
Cited alongside, same era.
J. V. D. Berg, P. Abbeel, and K. Goldberg, “Lqg-mp: Optimized path planning for robots with motion uncertainty and imperfect state information,” in RSS , 2010
2010
Cited alongside, same era.
J. Schulman, J. Ho, A. Lee, I. Awwal, H. Bradlow, and P. Abbeel, “Finding locally optimal, collision-free trajectories with sequential convex optimization,” in RSS , 2013
2013
Later among the works it cites.
A. Jain, S. Sharma, and A. Saxena, “Beyond geometric path planning: Learning context-driven user preferences via sub-optimal feedback,” in ISRR , 2013
2013
Later among the works it cites.
H. Koppula, R. Gupta, and A. Saxena, “Learning human activities and object affordances from rgb-d videos,” IJRR , vol. 32, no. 8, 2013
2013
Later among the works it cites.
D. Katz, A. Venkatraman, M. Kazemi, J. A. Bagnell, and A. Stentz, “Perceiving, learning, and exploiting object affordances for autonomous pile manipulation,” in RSS , 2013
2013
Later among the works it cites.
H. Koppula and A. Saxena, “Anticipating human activities using object affordances for reactive robotic response,” in RSS , 2013
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J. Mainprice, E. A. Sisbot, L. Jaillet, J. Cortés, R. Alami, and T. Siméon, “Planning human-aware motions using a sampling-based costmap planner,” in ICRA , 2011
2011
Cited alongside, same era.
J. Kober and J. Peters, “Policy search for motor primitives in robotics,” ML , vol. 84, no. 1, 2011
2011
Cited alongside, same era.
E. Ugur, E. Oztop, and E. Sahin, “Goal emulation and planning in perceptual space using learned affordances,” Robotics and Autonomous Systems , 2011
2011
Cited alongside, same era.
E. A. Sisbot and R. Alami, “A human-aware manipulation planner,” Robotics, IEEE Transactions on , vol. 28, 2012
2012
Cited alongside, same era.
M. Kuderer, H. Kretzschmar, C. Sprunk, and W. Burgard, “Feature-based prediction of trajectories for socially compliant navigation,” in RSS , 2012
2012
Cited alongside, same era.
Y. Jiang, M. Lim, and A. Saxena, “Learning object arrangements in 3d scenes using human context,” in ICML , 2012
2012
Cited alongside, same era.
P. Vernaza and J. A. Bagnell, “Efficient high dimensional maximum entropy modeling via symmetric partition functions,” in NIPS , 2012
2012
Cited alongside, same era.
2013
Later among the works it cites.
J. Mainprice and D. Berenson, “Human-robot collaborative manipulation planning using early prediction of human motion,” in IROS , 2013
2013
Later among the works it cites.
Z. Wang, K. Mülling, M. Deisenroth, H. Amor, D. Vogt, B. Schölkopf, and J. Peters, “Probabilistic movement modeling for intention inference in human-robot interaction,” IJRR , 2013
2013
Later among the works it cites.
K. F. Uyanik, Y. Caliskan, A. K. Bozcuoglu, S. K. O. Yuruten, and E. Sahin, “Learning social affordances and using them for planning,” in CogSys , 2013
2013
Later among the works it cites.
A. Dragan, K. Lee, and S. Srinivasa, “Legibility and predictability of robot motion,” in HRI , 2013
2013
Later among the works it cites.
A. Jain, B. Wojcik, T. Joachims, and A. Saxena, “Learning trajectory preferences for manipulators via iterative improvement,” in NIPS , 2013
2013
Later among the works it cites.
R. Paolini, A. Rodriguez, S. S. Srinivasa, and M. T. Mason, “A data-driven statistical framework for post-grasp manipulation,” in ISER , 2013
2013
Later among the works it cites.
H. Koppula, R. Gupta, and A. Saxena, “Learning human activities and object affordances from rgb-d videos,”
2013
Later among the works it cites.
A. Jain, B. Wojcik, T. Joachims, and A. Saxena, “Learning trajectory preferences for manipulators via iterative improvement,” in
2013
Later among the works it cites.
M. J. Y. Chung, M. Forbes, M. Cakmak and R. P. Rao, “Accelerating imitation learning through crowdsourcing,” in ICRA , 2014
2014
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