Bibliography

8. Bibliography#

[ACC+22]

Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, and Mac Schwager. Vision-Only Robot Navigation in a Neural Radiance World. IEEE Robotics and Automation Letters, 7(2):4606–4613, 2022. doi:10.1109/LRA.2022.3150497.

[AMGC02]

Murat Sanjeev Arulampalam, Simon Maskell, Neil Gordon, and Tim Clapp. A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking. IEEE Transactions on Signal Processing, 50(2):174–188, 2002.

[BP66]

Leonard E. Baum and Ted Petrie. Statistical Inference for Probabilistic Functions of Finite State Markov Chains. The Annals of Mathematical Statistics, 37(6):1554 – 1563, 1966. doi:10.1214/aoms/1177699147.

[BM12]

Randal W. Beard and Timothy W. McLain. Small Unmanned Aircraft: Theory and Practice. Princeton University Press, feb 2012.

[BK60]

Richard Bellman and Robert Kalaba. Dynamic programming and adaptive processes I: Mathematical foundation. IRE Transactions on Automatic Control, AC-5(1):5–10, 1960. doi:10.1109/TAC.1960.6429288.

[BM92]

P.J. Besl and Neil D. McKay. A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2):239–256, 1992. doi:10.1109/34.121791.

[Bis06]

Christopher M. Bishop. Pattern Recognition and Machine Learning. Springer, 2006. ISBN 9780387310732.

[BBC+23]

Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alex Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, and Brianna Zitkovich. RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. In arXiv preprint arXiv:2307.15818. 2023. URL: https://robotics-transformer2.github.io/.

[Cha23]

Stanley H. Chan. Introduction to Probability for Data Science. Michigan Publishing Services, 2023. ISBN 978-1-60785-747-1. URL: https://probability4datascience.com/index.html.

[CLH+05]

Howie Choset, Kevin M. Lynch, Seth Hutchinson, George Kantor, Wolfram Burgard, Lydia E. Kavraki, and Sebastian Thrun. Principles of Robot Motion. MIT Press, 2005. ISBN 9780262033275. URL: https://mitpress.mit.edu/9780262033275/principles-of-robot-motion/.

[Del21]

Frank Dellaert. Factor graphs: Exploiting Structure in Robotics. Annual Review of Control, Robotics, and Autonomous Systems, 4:141–166, 2021. URL: http://annualreviews.org/eprint/85PQDQYUGNEU6JPHW698/full/10.1146/annurev-control-061520-010504, doi:10.1146/annurev-control-061520-010504.

[Del23]

Frank Dellaert. DVGO checkpoint after 5 epochs. 2023. URL: https://zenodo.org/records/10767234/files/simple_dvgo-5-epochs.pt.

[Del24a]

Frank Dellaert. Graphviz: open source graph visualization software. 2024. URL: https://graphviz.org/.

[Del24b]

Frank Dellaert. gtbook: an nbdev powered toolbox for Frank and Seth’s robotics book. 2024. URL: https://gtbook.github.io/gtbook/.

[DFBT99]

Frank Dellaert, Dieter Fox, Wolfram Burgard, and Sebastian Thrun. Monte Carlo Localization for Mobile Robots. In Proceedings 1999 IEEE International Conference on Robotics and Automation, volume 2, 1322–1328 vol.2. 1999. doi:10.1109/ROBOT.1999.772544.

[DK17]

Frank Dellaert and Michael Kaess. Factor Graphs for Robot Perception. Foundations and Trends® in Robotics, 6(1-2):1–139, 2017. URL: https://www.nowpublishers.com/article/Details/ROB-043, doi:10.1561/2300000043.

[DBK+21]

Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. In International Conference on Learning Representations. 2021. URL: https://openreview.net/forum?id=YicbFdNTTy.

[DHS12]

R.O. Duda, P.E. Hart, and D.G. Stork. Pattern Classification. Wiley, 2012. ISBN 9781118586006. URL: https://books.google.co.uk/books?id=Br33IRC3PkQC.

[Far08]

Jay A. Farrell. Aided Navigation: GPS with High Rate Sensors. McGraw-Hill, 2008.

[FCDS16]

C. Forster, L. Carlone, F. Dellaert, and D. Scaramuzza. On-Manifold Preintegration for Real-Time Visual-Inertial Odometry. IEEE Transactions on Robotics, 2016. doi:10.1109/TRO.2016.2597321.

[FranccoisLHI+18]

Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, and Joelle Pineau. An Introduction to Deep Reinforcement Learning. Foundations and Trends in Machine Learning, 11(3–4):219–354, 2018. URL: http://dx.doi.org/10.1561/2200000071, doi:10.1561/2200000071.

[Fuk80]

Kunihiko Fukushima. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics, 36(4):193–202, 1980. URL: https://en.wikipedia.org/wiki/Neocognitron.

[GBKL19]

Kanishke Gamagedara, Mahdis Bisheban, Evan Kaufman, and Taeyoung Lee. Geometric Controls of a Quadrotor UAV with Decoupled Yaw Control. In 2019 American Control Conference (ACC), 3285–3290. 2019. doi:10.23919/ACC.2019.8815189.

[GBC16]

Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep Learning. MIT Press, 2016. ISBN 9780262035613. URL: https://www.deeplearningbook.org.

[GN01]

José E. Guivant and Eduardo Mario Nebot. Optimization of the simultaneous localization and map-building algorithm for real-time implementation. IEEE Transactions on Robotics and Automation, 17(3):242–257, 2001.

[Hal98]

Anders Hald. A history of mathematical statistics from 1750 to 1930. Wiley, 1998.

[Hal03]

Anders Hald. A History of Probability and Statistics and Their Applications before 1750. Wiley, 2003.

[HZ00]

Richard Hartley and Andrew Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2000.

[IPAC10]

Viorela Ila, Josep M. Porta, and Juan Andrade-Cetto. Information-Based Compact Pose SLAM. IEEE Transactions on Robotics, 26(1):78–93, 2010. doi:10.1109/TRO.2009.2034435.

[JBM75]

F. Jelinek, L. Bahl, and R. Mercer. Design of a linguistic statistical decoder for the recognition of continuous speech. IEEE Transactions on Information Theory, 21(3):250–256, 1975. doi:10.1109/TIT.1975.1055384.

[KMR+23]

Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick. Segment Anything. In Proceedings of the IEEE/CVF International Conference on Computer Vision, 1–10. 2023.

[KF09]

D. Koller and N. Friedman. Probabilistic Graphical Models Principles and Techniques. The MIT Press, 2009.

[Lat91]

Jean-Claude Latombe. Robot Motion Planning. Kluwer Academic Publishers, USA, 1991. ISBN 0792391292.

[LaV06]

Steven M. LaValle. Planning Algorithms. Cambridge University Press, 2006. ISBN 9780521862059. URL: https://lavalle.pl/planning/.

[LBBH98]

Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278–2324, 1998. URL: https://ieeexplore.ieee.org/abstract/document/726791.

[LLZ+20]

Zhiyuan Li, Huawei Liang, Pan Zhao, Shaobo Wang, and Hui Zhu. Efficient Lane Change Path Planning based on Quintic spline for Autonomous Vehicles. In 2020 IEEE International Conference on Mechatronics and Automation (ICMA), 338–344. 2020. doi:10.1109/ICMA49215.2020.9233841.

[LS12]

Todd Lupton and Salah Sukkarieh. Visual-Inertial-Aided Navigation for High-Dynamic Motion in Built Environments Without Initial Conditions. IEEE Transactions on Robotics, 28(1):61–76, Feb 2012. doi:10.1109/TRO.2011.2170332.

[LP17]

Kevin M. Lynch and Frank C. Park. Modern Robotics: Mechanics, Planning, and Control. Cambridge University Press, USA, 2017. ISBN 1107156300. URL: http://modernrobotics.org/.

[MSKS04]

Yi Ma, Stefano Soatto, Jana Kosecka, and Shankar S. Sastry. An Invitation to 3-D Vision. Springer, 2004.

[MKC12]

Robert Mahony, Vijay Kumar, and Peter Corke. Multirotor aerial vehicles: Modeling, estimation, and control of quadrotor. Robotics and Automation Magazine (RAM), 2012. doi:10.1109/MRA.2012.2206474.

[May79]

Peter S. Maybeck. Stochastic Models, Estimation, and Control, Volume 1. Academic Press, New York, 1979. ISBN 9780124310546.

[MST+21]

Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. NeRF: representing scenes as neural radiance fields for view synthesis. Commun. ACM, 65(1):99–106, dec 2021. doi:10.1145/3503250.

[MKS+15]

Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg, and Demis Hassabis. Human-level control through deep reinforcement learning. Nature, 518(7540):529–533, February 2015. URL: https://doi.org/10.1038/nature14236, doi:10.1038/nature14236.

[MLS94]

Richard M. Murray, Zexiang Li, and Shankar S. Sastry. A Mathematical Introduction to Robotic Manipulation. CRC Press, 1994.

[Pea88]

J. Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann Publishers, Inc., 1988.

[RSH17]

Matthew B Rhudy, Roger A Salguero, and Keaton Holappa. (a kalman filtering tutorial for undergraduate students). International Journal of Computer Science & Engineering Survey, 8(1):1–9, 2017.

[Sch66]

Peter Schoenemann. A generalized solution of the orthogonal procrustes problem. Psychometrika, 31(1):1–10, mar 1966. doi:10.1007/BF02289451.

[SWD+17]

John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov. Proximal Policy Optimization Algorithms. CoRR, 2017. URL: http://arxiv.org/abs/1707.06347, arXiv:1707.06347.

[SNS11]

Roland Siegwart, Illah Reza Nourbakhsh, and Davide Scaramuzza. Introduction to Autonomous Mobile Robots. MIT Press, 2011. ISBN 9780262015356. URL: https://mitpress.mit.edu/9780262015356/introduction-to-autonomous-mobile-robots/.

[SHM+16]

David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, and others. Mastering the game of Go with deep neural networks and tree search. Nature, 529(7587):484–489, 2016.

[SS73]

Richard D. Smallwood and Edward J. Sondik. The Optimal Control of Partially Observable Markov Processes Over a Finite Horizon. Operations Research, 21(5):1071–1088, sep 1973.

[Son78]

Edward J. Sondik. The Optimal Control of Partially Observable Markov Processes Over the Infinite Horizon: Discounted Costs. Operations Research, 26(2):282–304, mar 1978.

[SHV06]

M. Spong, S. Hutchinson, and M. Vidyasagar. Robot Modeling and Control. John Wiley and Sons, NY, NY, 2006.

[SSC22]

Cheng Sun, Min Sun, and Hwann-Tzong Chen. Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5449–5459. 2022. doi:10.1109/CVPR52688.2022.00538.

[SB18]

Richard S. Sutton and Andrew G. Barto. Reinforcement Learning: An Introduction. The MIT Press, Cambridge, MA, USA, 2 edition, 2018. ISBN 9780262039246. URL: http://incompleteideas.net/book/the-book-2nd.html.

[TBF05]

Sebastian Thrun, Wolfram Burgard, and Dieter Fox. Probabilistic Robotics. The MIT Press, 2005. ISBN 9780262201629. URL: https://mitpress.mit.edu/9780262201629/probabilistic-robotics/.

[VSP+17]

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. Attention Is All You Need. In Advances in Neural Information Processing Systems, 5998–6008. 2017. URL: https://en.wikipedia.org/wiki/Attention_Is_All_You_Need.

[Wat89]

Christopher John Cornish Hellaby Watkins. Learning from delayed rewards. King's College, Cambridge United Kingdom, 1989.

[WZKT10]

Moritz Werling, Julius Ziegler, Sören Kammel, and Sebastian Thrun. Optimal trajectory generation for dynamic street scenarios in a Frenét Frame. In 2010 IEEE International Conference on Robotics and Automation, 987–993. 2010. doi:10.1109/ROBOT.2010.5509799.

[Wil92]

R. J. Williams. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine Learning, 8:229–259, 1992.

[WQA+21]

Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, and James Hays. Argoverse 2: Next Generation Datasets for Self-driving Perception and Forecasting. In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS Datasets and Benchmarks 2021). 2021.

[ZLLS23]

Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola. Dive into Deep Learning. Cambridge University Press, 2023. URL: https://d2l.ai.