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Cutting is a common form of manipulation when working with divisible objects such as food, rope, or clay.
S. S. Stevens, J. Volkmann, and E. B. Newman, “A scale for the measurement of the psychological magnitude pitch,” The Journal of the Acoustical Society of America
1937
Earlier work this paper cites.
B. Logan et al
2000
Earlier work this paper cites.
D.-N. Jiang, L. Lu, H.-J. Zhang, J.-H. Tao, and L.-H. Cai, “Music type classification by spectral contrast feature,” in Proceedings. IEEE International Conference on Multimedia and Expo
2002
Earlier work this paper cites.
Springer Science & Business Media, 2006
S. Sahin and S. G. Sumnu, Physical properties of foods · 2006
Earlier work this paper cites.
S. Schaal, “Dynamic movement primitives-a framework for motor control in humans and humanoid robotics,” in Adaptive motion of animals and machines
2006
Earlier work this paper cites.
C. Harte, M. Sandler, and M. Gasser, “Detecting harmonic change in musical audio,” in Proceedings of the 1st ACM workshop on Audio and music computing multimedia
2006
Earlier work this paper cites.
S. Takamuku, G. Gomez, K. Hosoda, and R. Pfeifer, “Haptic discrimination of material properties by a robotic hand,” in 2007 IEEE 6th International Conference on Development and Learning
2007
Earlier work this paper cites.
D. Ellis, “Chroma feature analysis and synthesis,” Resources of Laboratory for the Recognition and Organization of Speech and Audio-LabROSA
2007
Earlier work this paper cites.
2007
Earlier work this paper cites.
R. S. Johansson and J. R. Flanagan, “Coding and use of tactile signals from the fingertips in object manipulation tasks,” Nature Reviews Neuroscience
2009
Earlier work this paper cites.
M. Quigley, K. Conley, B. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A. Y. Ng, “Ros: an open-source robot operating system,” in ICRA workshop on open source software
2009
Cited alongside, same era.
B. Frank, R. Schmedding, C. Stachniss, M. Teschner, and W. Burgard, “Learning the elasticity parameters of deformable objects with a manipulation robot,” in 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
2010
Cited alongside, same era.
A. Drimus, G. Kootstra, A. Bilberg, and D. Kragic, “Classification of rigid and deformable objects using a novel tactile sensor,” in 2011 15th International Conference on Advanced Robotics (ICAR)
2011
Cited alongside, same era.
O. Kroemer, C. H. Lampert, and J. Peters, “Learning dynamic tactile sensing with robust vision-based training,” IEEE transactions on robotics
2011
Cited alongside, same era.
M. Geier, “python-sounddevice,” 2015
2015
Later among the works it cites.
B. McFee, C. Raffel, D. Liang, D. P. Ellis, M. McVicar, E. Battenberg, and O. Nieto, “librosa: Audio and music signal analysis in python,” in Proceedings of the 14th python in science conference
2015
Later among the works it cites.
S. Levine, C. Finn, T. Darrell, and P. Abbeel, “End-to-end training of deep visuomotor policies,” The Journal of Machine Learning Research
2016
Later among the works it cites.
L. Pinto and A. Gupta, “Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours,” in 2016 IEEE international conference on robotics and automation (ICRA)
2016
Later among the works it cites.
O. Kroemer and G. Sukhatme, “Meta-level priors for learning manipulation skills with sparse features,” in International Symposium on Experimental Robotics
2016
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T. Bhattacharjee, J. M. Rehg, and C. C. Kemp, “Haptic classification and recognition of objects using a tactile sensing forearm,” in 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
2012
Cited alongside, same era.
M. Kaboli, P. Mittendorfer, V. Hügel, and G. Cheng, “Humanoids learn object properties from robust tactile feature descriptors via multi-modal artificial skin,” in 2014 IEEE-RAS International Conference on Humanoid Robots
2014
Cited alongside, same era.
M. C. Gemici and A. Saxena, “Learning haptic representation for manipulating deformable food objects,” in 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems
2014
Cited alongside, same era.
I. Lenz, R. A. Knepper, and A. Saxena, “Deepmpc: Learning deep latent features for model predictive control.,” in Robotics: Science and Systems
2015
Cited alongside, same era.
V. Chu, I. McMahon, L. Riano, C. G. McDonald, Q. He, J. M. Perez-Tejada, M. Arrigo, T. Darrell, and K. J. Kuchenbecker, “Robotic learning of haptic adjectives through physical interaction,” Robotics and Autonomous Systems
2015
Cited alongside, same era.
Later among the works it cites.
S. Levine, P. Pastor, A. Krizhevsky, J. Ibarz, and D. Quillen, “Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection,” The International Journal of Robotics Research
2018
Later among the works it cites.
S. Clarke, T. Rhodes, C. G. Atkeson, and O. Kroemer, “Learning audio feedback for estimating amount and flow of granular material,” in Conference on Robot Learning
2018
Later among the works it cites.
2019
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