Journal Information
Robotics and Autonomous Systems
https://www.sciencedirect.com/journal/robotics-and-autonomous-systems
Impact Factor:
4.300
Publisher:
Elsevier
ISSN:
0921-8890
Viewed:
14471
Tracked:
7
Call For Papers
Affiliated with the Intelligent Autonomous Systems (IAS) Society

Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems.

Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.Benefits to authors
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Last updated by Dou Sun in 2024-07-14
Special Issues
Special Issue on Planning and Learning for Autonomous Robotics
Submission Date: 2025-01-15

The special issue aims to showcase recent advances in planning and learning methods for intelligent robots. Planning, learning and their synergistic combination are crucial across several areas of robotics research and pervasively exploited at various levels of robot architecture. The combination of these techniques is instrumental in shaping robot intelligence, enabling them to plan complex action sequences and acquire new tasks or action selection strategies. As we expect robots to leave lab and take part in our everyday lives, a major advance in artificial intelligence techniques is expected to overcome intrinsic limitations of current autonomy and capabilities to interact with the environment, humans, and other agents. In this respect, planning and learning methodologies are expected to play a key role in supporting both task-oriented behaviors and continuous and incremental adaptation. The special issue seeks to consolidate recent strides in planning and learning for autonomous robotics, fostering the evolution of this critical research domain. The scientific relevance of the special issue is related to how complementary areas of AI research, such as planning and learning, can be exploited and combined to support long-range autonomy, complex task learning, execution and human-robot interaction in real-world domains. Topics: Reinforcement Learning and Planning for Robot Autonomy Heuristics for Robot Planning and Learning Safe and Risk-aware Learning and Planning in Robotics Planning and Learning for Explainable Robotics Neuro-Symbolic Methods for Learning and Planning in Robotics LLM Methods for Planning and Execution Continual Learning and Execution for Autonomous Robots Planning and execution under Uncertainty in Robotics Task and Motion Planning for Autonomous Robots Markov Models for Robot Planning and Control Learning from Demonstrations Knowledge Representation for Planning and Transfer Learning Planning and Learning for Active Perception Adaptive Multi-Agent Coordination Inductive Learning for Robotics Guest editors: Assist. Prof. Alberto Castellini (Executive Guest Editor) Università di Verona, Verona, Italy Email: alberto.castellini@univr.it Areas of Expertise: Artificial Intelligence, Machine Learning and Data Analysis for intelligent systems Prof. Salvatore Anzalone Université Paris 8, Saint Denis, Paris, France Email: sanzalone@univ-paris8.fr Areas of Expertise: Social Robotics, Machine Learning, Computer Vision, Artificial Intelligence Dr. Gloria Beraldo Consiglio Nazionale delle Ricerche, CNR, Rome, Italy Email: gloria.beraldo@istc.cnr.it Areas of Expertise: human-robot interaction, shared control and shared autonomy, telepresence robots, neurorobotics, socially assistive robotics, and intelligent systems Assoc. Prof. Alberto Finzi Università di Napoli "Federico II", Naples, Italy Email: alberto.finzi@unina.it Areas of Expertise: cognitive robotics, autonomous robots, human-robot interaction, robot learning, robot planning and execution, executive and cognitive control, multiagent systems Prof. Enrico Pagello Università di Padova, Padua, Italy Email: enrico.pagello@unipd.it Areas of Expertise: the application of A.I. to Robotics, in particular for Robot Programming Languages, Task and Motion Planning, Multi-robot Systems, Cloud Robotics, and Industrial Manufacturing domains Assoc. Prof. Fabio Patrizi Sapienza, Università di Roma, Italy Email: patrizi@diag.uniroma1.it Areas of Expertise: theoretical, methodological, and practical aspects in different areas of Computer Science and Artificial Intelligence, such as Formal Methods, Knowledge Representation, Reasoning about Action, nonstandard forms of Planning, Service-oriented Computing, Business Processes Manuscript submission information: Important dates: Deadline for the first submission: January 15th, 2025​ First review round completed: June 15th, 2025 Deadline for revised manuscripts due: September 15th, 2025 Final notification of acceptance: December 15th, 2025
Last updated by Dou Sun in 2024-09-01
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