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Simulation is widely used in robotics for system verification and large-scale data collection.
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2010
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2011
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E. Todorov, T. Erez, and Y. Tassa, “Mujoco: A physics engine for model-based control,” in 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems . IEEE, 2012, pp. 5026–5033
2012
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2012
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M. E. Angelopoulou and M. Petrou, “Uncalibrated flatfielding and illumination vector estimationfor photometric stereo face reconstruction,” Machine vision and applications , vol. 25, no. 5, pp. 1317–1332, 2014
2014
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2015
Cited alongside, same era.
E. Coumans and Y. Bai, “Pybullet, a python module for physics simulation for games, robotics and machine learning,” 2016
2016
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W. Yuan, S. Dong, and E. H. Adelson, “Gelsight: High-resolution robot tactile sensors for estimating geometry and force,” Sensors , vol. 17, no. 12, p. 2762, 2017
2017
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R. Calandra, A. Owens, M. Upadhyaya, W. Yuan, J. Lin, E. H. Adelson, and S. Levine, “The feeling of success: Does touch sensing help predict grasp outcomes?” in Conference on Robot Learning . PMLR, 2017, pp. 314–323
2017
Cited alongside, same era.
2020
Later among the works it cites.
2020
Later among the works it cites.
C. Sferrazza, T. Bi, and R. D’Andrea, “Learning the sense of touch in simulation: a sim-to-real strategy for vision-based tactile sensing,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2020, pp. 4389–4396
2020
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M. Lambeta, P.-W. Chou, S. Tian, B. Yang, B. Maloon, V. R. Most, D. Stroud, R. Santos, A. Byagowi, G. Kammerer, et al. , “Digit: A novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation,” IEEE Robotics and Automation Letters , vol. 5, no. 3, pp. 3838–3845, 2020
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S. Dong, W. Yuan, and E. H. Adelson, “Improved gelsight tactile sensor for measuring geometry and slip,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2017, pp. 137–144
2017
Cited alongside, same era.
B. Ward-Cherrier, N. Pestell, L. Cramphorn, B. Winstone, M. E. Giannaccini, J. Rossiter, and N. F. Lepora, “The tactip family: Soft optical tactile sensors with 3d-printed biomimetic morphologies,” Soft robotics , vol. 5, no. 2, pp. 216–227, 2018
2018
Cited alongside, same era.
D. Casas and M. A. Otaduy, “Learning nonlinear soft-tissue dynamics for interactive avatars,” Proceedings of the ACM on Computer Graphics and Interactive Techniques , vol. 1, no. 1, pp. 1–15, 2018
2018
Cited alongside, same era.
R. Tedrake, T. Team, et al. , “Drake: Model-based design and verification for robotics,” 2019
2019
Cited alongside, same era.
D. Ma, E. Donlon, S. Dong, and A. Rodriguez, “Dense tactile force estimation using gelslim and inverse fem,” in 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 2019, pp. 5418–5424
2019
Cited alongside, same era.
C. Sferrazza, A. Wahlsten, C. Trueeb, and R. D’Andrea, “Ground truth force distribution for learning-based tactile sensing: A finite element approach,” IEEE Access , vol. 7, pp. 173 438–173 449, 2019
2019
Cited alongside, same era.
Z. Ding, N. F. Lepora, and E. Johns, “Sim-to-real transfer for optical tactile sensing,” in 2020 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2020, pp. 1639–1645
2020
Cited alongside, same era.
“Gazebo,” http://gazebosim.org/
Cited in the paper.
2020
Later among the works it cites.
2021
Closest in time.
A. Agarwal, T. Man, and W. Yuan, “Simulation of vision-based tactile sensors using physics based rendering,” in 2021 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2021, pp. 1–7
2021
Closest in time.
D. F. Gomes, P. Paoletti, and S. Luo, “Generation of gelsight tactile images for sim2real learning,” IEEE Robotics and Automation Letters , vol. 6, no. 2, pp. 4177–4184, 2021
2021
Closest in time.
Y. Wang, W. Huang, B. Fang, F. Sun, and C. Li, “Elastic tactile simulation towards tactile-visual perception,” in Proceedings of the 29th ACM International Conference on Multimedia , 2021, pp. 2690–2698
2021
Closest in time.
2021
Closest in time.
F. R. Hogan, M. Jenkin, S. Rezaei-Shoshtari, Y. Girdhar, D. Meger, and G. Dudek, “Seeing through your skin: Recognizing objects with a novel visuotactile sensor,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , 2021, pp. 1218–1227
2021
Closest in time.