Simulation of Vision-based Tactile Sensors using Physics based Rendering

被引:40
作者
Agarwal, Arpit [1 ]
Man, Timothy [2 ]
Yuan, Wenzhen [1 ]
机构
[1] Carnegie Mellon Univ, Robot Inst, 5000 Forbes Ave, Pittsburgh, PA 15213 USA
[2] Carnegie Mellon Univ, Dept Mech Engn, 5000 Forbes Ave, Pittsburgh, PA 15213 USA
来源
2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021) | 2021年
关键词
D O I
10.1109/ICRA48506.2021.9561122
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Tactile sensing has seen a rapid adoption with the advent of vision-based tactile sensors. Vision-based tactile sensors provide high resolution, compact and inexpensive data to perform precise in-hand manipulation and human-robot interaction. However, the simulation of tactile sensors is still a challenge. In this paper, we built the first fully general optical tactile simulation system for a GelSight sensor using physics based rendering techniques. We propose physically accurate light models and show in-depth analysis of individual components of our simulation pipeline. Our system outperforms previous simulation techniques qualitatively and quantitative on image similarity metrics. Our code and experimental data is open-sourced at project page.
引用
收藏
页码:14306 / 14312
页数:7
相关论文
共 31 条
[1]  
Allard J., 2007, Sofa-an open source framework for medical simulation
[2]   Photometric stereo with general, unknown lighting [J].
Basri, Ronen ;
Jacobs, David ;
Kemelmacher, Ira .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2007, 72 (03) :239-257
[3]   RenderMan: An Advanced Path-Tracing Architecture for Movie Rendering [J].
Christensen, Per ;
Fong, Julian ;
Shade, Jonathan ;
Wooten, Wayne ;
Schubert, Brenden ;
Kensler, Andrew ;
Friedman, Stephen ;
Kilpatrick, Charlie ;
Ramshaw, Cliff ;
Bannister, Marc ;
Rayner, Brenton ;
Brouillat, Jonathan ;
Liani, Max .
ACM TRANSACTIONS ON GRAPHICS, 2018, 37 (03)
[4]  
Debevec P, 2000, COMP GRAPH, P145, DOI 10.1145/344779.344855
[5]  
Ding Z., 2020, ARXIV200400136
[6]   Path tracing in Production [J].
Fascione, Luca ;
Hanika, Johannes ;
Pieke, Rob ;
Villemin, Ryusuke ;
Hery, Christophe ;
Gamito, Manuel ;
Emrose, Luke ;
Mazzone, Andre .
SIGGRAPH'18: ACM SIGGRAPH 2018 COURSES, 2018,
[7]  
Fishel JA, 2012, P IEEE RAS-EMBS INT, P1122, DOI 10.1109/BioRob.2012.6290741
[8]   Sample-based Monte Carlo Denoising using a Kernel-Splatting Network [J].
Gharbi, Michatel ;
Li, Tzu-Mao ;
Aittala, Miika ;
Lehtinen, Jaakko ;
Durand, Fredo .
ACM TRANSACTIONS ON GRAPHICS, 2019, 38 (04)
[9]  
Gomes D. F., 2019, ICRA VITAC WORKSH
[10]  
Hore Alain, 2010, Proceedings of the 2010 20th International Conference on Pattern Recognition (ICPR 2010), P2366, DOI 10.1109/ICPR.2010.579