Data science
Related papers: 20
About
Data science is an interdisciplinary field that combines statistics, mathematics, machine learning, and computational methods to extract meaningful insights and patterns from large, complex datasets. It encompasses the full pipeline of collecting, processing, analyzing, and visualizing data to support decision-making and build predictive models. In robotics and AI, data science is foundational: robots rely on data-driven techniques—such as deep learning, clustering, Bayesian inference, and dimensionality reduction—to perceive their environments, learn from experience, and improve performance over time. Applications range from autonomous navigation and robotic grasping to medical robotics and smart agriculture, where sensor streams and real-world observations are transformed into actionable intelligence. Data science matters because modern robotic systems generate enormous volumes of heterogeneous data that cannot be interpreted through hand-crafted rules alone. By leveraging scalable analytical frameworks and foundation models trained on broad datasets, engineers can develop robots and AI systems that generalize across tasks, adapt to uncertainty, and operate effectively in unstructured real-world environments—making data science an essential enabler of contemporary intelligent systems.
Top Researchers
Top Cited Papers
Self-Organizing Maps
Teuvo Kohonen
Citations: 10390 • 1995
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Q. Al-Dujaili, Ye Duan, Omran Al-Shamma, José Santamaría, Mohammed A. Fadhel, Muthana Al‐Amidie, Laith Farhan
Citations: 7484 • 2021
Swarm Intelligence
Eric Bonabeau, Marco Dorigo, Guy Théraulaz
Citations: 6404 • 1999
A guide to deep learning in healthcare
Andre Esteva, Alexandre Robicquet, Bharath Ramsundar, Volodymyr Kuleshov, Mark A. DePristo, Katherine Chou, Claire Cui, Greg S. Corrado, Sebastian Thrun, Jeff Dean
Citations: 4608 • 2018
Causal Diagrams for Epidemiologic Research
Sander Greenland, Judea Pearl, James M. Robins
Citations: 3663 • 1999
Robot Vision
Berthold K. P. Horn
Citations: 3635 • 1986
Big Data in Smart Farming – A review
J. Wolfert, Lan Ge, C.N. Verdouw, M.J. Bogaardt
Citations: 2977 • 2017
How artificial intelligence will change the future of marketing
Thomas H. Davenport, Abhijit Guha, Dhruv Grewal, Timna Breßgott
Citations: 2300 • 2019
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun
Citations: 2225 • 2020
The Quadtree and Related Hierarchical Data Structures
Hanan Samet
Citations: 2194 • 1984
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tong Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Ahmad Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Benjamin T. Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon-Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Yang Wang
Citations: 2177 • 2021
Drug Discovery and Natural Products: End of an Era or an Endless Frontier?
Jesse W.-H. Li, John C. Vederas
Citations: 2051 • 2009
State-of-the-Art in Visual Attention Modeling
Ali Borji, Laurent Itti
Citations: 1834 • 2012
Bayesian Reasoning and Machine Learning
David Barber
Citations: 1651 • 2012
Continuum Robots for Medical Applications: A Survey
Jessica Burgner-Kahrs, D. Caleb Rucker, Howie Choset
Citations: 1492 • 2015
Robotic mapping: a survey
Sebastian Thrun
Citations: 1293 • 2003
Multiagent Systems: A Survey from a Machine Learning Perspective
Peter Stone, Manuela Veloso
Citations: 1188 • 2000
Brain Intelligence: Go beyond Artificial Intelligence
Huimin Lu, Yujie Li, Min Chen, Hyoung Seop Kim, Seiichi Serikawa
Citations: 1136 • 2017
The grand challenges of <i>Science Robotics</i>
Guang‐Zhong Yang, Jim Bellingham, Pierre E. Dupont, Peer Fischer, Luciano Floridi, Robert J. Full, Neil Jacobstein, Vijay Kumar, Marcia McNutt, Robert Merrifield, Bradley J. Nelson, Brian Scassellati, Mariarosaria Taddeo, Russell H. Taylor, Manuela Veloso, Zhong Lin Wang, Robert J. Wood
Citations: 1134 • 2018
Data-Driven Science and Engineering
Steven L. Brunton, J. Nathan Kutz
Citations: 1100 • 2019