Annual Review of Control, Robotics, and Autonomous Systems

doi:10.1146/control

Annual Review of Control, Robotics, and Autonomous Systems

eISSN: 2573-5144

AIMS AND SCOPE OF JOURNAL: The Annual Review of Control, Robotics, and Autonomous Systems provides comprehensive reviews of significant theoretical and applied developments that impact the engineering of autonomous and semiautonomous systems. The broad fields of control and robotics are the major areas covered, together with connections to theoretical and applied mechanics, optimization, communication, information theory, machine learning, computing, and signal processing. The journal covers important intersections with fields outside of engineering, including biology, neuroscience, and human behavioral sciences.

Published Since	2018
Journal Status	Active
DOI:	https://doi.org/10.1146/control

Impact Factor	13.4

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- Into the Robotic Depths: Analysis and Insights from the DARPA Subterranean Challenge
  
  Timothy H. Chung, Viktor Orekhov, and Angela Maio
  
  Vol. 6 (2023), pp. 477–502
- How the CYBATHLON Competition Has Advanced Assistive Technologies
  
  Lukas Jaeger, Roberto de Souza Baptista, Chiara Basla, Patricia Capsi-Morales, Yong Kuk Kim, Shuro Nakajima, Cristina Piazza, Michael Sommerhalder, Luca Tonin, Giacomo Valle, Robert Riener, and Roland Sigrist
  
  Vol. 6 (2023), pp. 447–476
- Control of Low-Inertia Power Systems
  
  Florian Dörfler, and Dominic Groß
  
  Vol. 6 (2023), pp. 415–445
- Control of Multicarrier Energy Systems from Buildings to Networks
  
  Roy S. Smith, Varsha Behrunani, and John Lygeros
  
  Vol. 6 (2023), pp. 391–414
- Grasp Learning: Models, Methods, and Performance
  
  Robert Platt
  
  Vol. 6 (2023), pp. 363–389
- Spacecraft-Mounted Robotics
  
  Panagiotis Tsiotras, Matthew King-Smith, and Lorenzo Ticozzi
  
  Vol. 6 (2023), pp. 335–362
- Exploiting Liquid Surface Tension in Microrobotics
  
  Antoine Barbot, Francisco Ortiz, Aude Bolopion, Michaël Gauthier, and Pierre Lambert
  
  Vol. 6 (2023), pp. 313–334
- Noise in Biomolecular Systems: Modeling, Analysis, and Control Implications
  
  Corentin Briat, and Mustafa Khammash
  
  Vol. 6 (2023), pp. 283–311
- Crowd Dynamics: Modeling and Control of Multiagent Systems
  
  Xiaoqian Gong, Michael Herty, Benedetto Piccoli, and Giuseppe Visconti
  
  Vol. 6 (2023), pp. 261–282
- The Many Facets of Information in Networked Estimation and Control
  
  Massimo Franceschetti, Mohammad Javad Khojasteh, and Moe Z. Win
  
  Vol. 6 (2023), pp. 233–259
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- Planning and Decision-Making for Autonomous Vehicles
  
  Wilko Schwarting, Javier Alonso-Mora, and Daniela Rus
  
  Vol. 1 (2018), pp. 187–210
- Learning-Based Model Predictive Control: Toward Safe Learning in Control
  
  Lukas Hewing, Kim P. Wabersich, Marcel Menner, and Melanie N. Zeilinger
  
  Vol. 3 (2020), pp. 269–296
- Recent Advances in Robot Learning from Demonstration
  
  Harish Ravichandar, Athanasios S. Polydoros, Sonia Chernova, and Aude Billard
  
  Vol. 3 (2020), pp. 297–330
- A Tour of Reinforcement Learning: The View from Continuous Control
  
  Benjamin Recht
  
  Vol. 2 (2019), pp. 253–279
- Haptics: The Present and Future of Artificial Touch Sensation
  
  Heather Culbertson, Samuel B. Schorr, and Allison M. Okamura
  
  Vol. 1 (2018), pp. 385–409
- Magnetic Methods in Robotics
  
  Jake J. Abbott, Eric Diller, and Andrew J. Petruska
  
  Vol. 3 (2020), pp. 57–90
- A Century of Robotic Hands
  
  C. Piazza, G. Grioli, M.G. Catalano, and A. Bicchi
  
  Vol. 2 (2019), pp. 1–32
- Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
  
  Lukas Brunke, Melissa Greeff, Adam W. Hall, Zhaocong Yuan, Siqi Zhou, Jacopo Panerati, and Angela P. Schoellig
  
  Vol. 5 (2022), pp. 411–444
- Distributed Optimization for Control
  
  Angelia Nedić, and Ji Liu
  
  Vol. 1 (2018), pp. 77–103
- Soft Micro- and Nanorobotics
  
  Chengzhi Hu, Salvador Pané, and Bradley J. Nelson
  
  Vol. 1 (2018), pp. 53–75
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Annual Review of Control, Robotics, and Autonomous Systems

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