State (computer science)
Related papers: 20
About
In computer science, **state** refers to the complete set of stored information describing a system at a particular moment in time — essentially a snapshot of all variables, configurations, and conditions that determine how the system will behave next. In robotics and AI, state is a foundational concept appearing across virtually every subdomain: a robot's state might encode its joint angles and velocities, its position in an environment, or sensor readings, while an AI agent's state captures the current observation used to select actions. State representations are central to control theory (where controllers compute outputs from state feedback), motion planning (where algorithms search through state spaces), localization and filtering (where particle filters and Bayesian methods estimate uncertain states from noisy sensors), and reinforcement learning (where agents learn policies mapping states to actions). Properly defining and estimating state is critical because control stability, navigation accuracy, and decision-making quality all depend on having an accurate, sufficient state description. Understanding state enables engineers to design systems that respond correctly to their environment under uncertainty, making it one of the most pervasive and essential concepts across all of robotics and AI.
Top Researchers
Top Institutes
Top Cited Papers
Stanley: The robot that won the DARPA Grand Challenge
Sebastian Thrun, Mike Montemerlo, Hendrik Dahlkamp, David Stavens, Andrei Aron, James Diebel, Philip Fong, John T. Gale, Morgan Halpenny, Gabriel Hoffmann, Kenny Lau, Celia M. Oakley, Mark Palatucci, Vaughan Pratt, Pascal Stang, Sven Strohband, Cédric Dupont, Lars‐Erik Jendrossek, Christian Koelen, Charles Markey, Carlo Rummel, Joe van Niekerk, Eric L. N. Jensen, Philippe Alessandrini, Gary Bradski, Bob Davies, Scott Ettinger, Adrian Kaehler, Ara Nefian, Pamela Mahoney
Citations: 2109 • 2006
Tracking control of non-linear systems using sliding surfaces, with application to robot manipulators†
J.-J.E. Slotine, Shankar Sastry
Citations: 1788 • 1983
Target-driven visual navigation in indoor scenes using deep reinforcement learning
Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi
Citations: 1507 • 2017
A Tutorial on Particle Filtering and Smoothing: Fifteen years later
Randal Douc, Adam M. Johansen
Citations: 1407 • 2008
Estimating Uncertain Spatial Relationships in Robotics
Randall K. Smith, Matthew W. Self, Peter Cheeseman
Citations: 1269 • 1990
Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints
Wei He, Yuhao Chen, Zhao Yin
Citations: 1257 • 2015
Myoelectric control systems—A survey
Mohammadreza Asghari Oskoei, Huosheng Hu
Citations: 1238 • 2007
Soft Robotics: Biological Inspiration, State of the Art, and Future Research
Deepak Trivedi, Christopher D. Rahn, William M. Kier, Ian D. Walker
Citations: 1200 • 2008
Adaptive control of linearizable systems
Shankar Sastry, Alberto Isidori
Citations: 1195 • 1989
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Kevin J. Murphy, Stuart Russell
Citations: 1185 • 2001
Soft Robotics: Biological Inspiration, State of the Art, and Future Research
Deepak Trivedi, Christopher D. Rahn, William M. Kier, Ian D. Walker
Citations: 1138 • 2008
GOLOG: A logic programming language for dynamic domains
Hector J. Levesque, Raymond Reiter, Yves Lespérance, Fangzhen Lin, Richard B. Scherl
Citations: 1039 • 1997
Trajectory generation and control for precise aggressive maneuvers with quadrotors
Daniel Mellinger, Nathan Michael, Vijay Kumar
Citations: 866 • 2012
Model checking for programming languages using VeriSoft
Patrice Godefroid
Citations: 828 • 1997
Tracking Control of Mobile Robots: A Case Study in Backstepping**This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by Associate Editor Alberto Isidori under the direction of Editor Tamer Başar.
ZHONG-PING JIANGdagger, Henk Nijmeijer
Citations: 823 • 1997
Tactile sensing for dexterous in-hand manipulation in robotics—A review
Hanna Yousef, Mehdi Boukallel, Kaspar Althoefer
Citations: 769 • 2011
Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research
Chamitha de Alwis, Anshuman Kalla, Quoc‐Viet Pham, Kapal Dev, Won‐Joo Hwang, Madhusanka Liyanage
Citations: 762 • 2021
Historical Perspective and State of the Art in Robot Force Control
Daniel E. Whitney
Citations: 761 • 1987
A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance
Chad Goerzen, Zhaodan Kong, Bernard Mettler
Citations: 751 • 2009
Adapting the Sample Size in Particle Filters Through KLD-Sampling
Dieter Fox
Citations: 717 • 2003