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ASME Journal of Computational and Nonlinear Dynamics
ASME Journal of Mechanisms and Robotics
Robots are complex, controlled, dynamical systems that interact with their environments. Novel robot concepts were developed in recent years, such as cable-driven platforms, agile parallel manipulators, lightweight robots, and inherently compliant manipulators, with applications ranging from medical devices, cobots and exoskeletons to machine tools, autonomous platforms for inspection and maintenance, and space robots. Future robots need to be responsive; they must (inter)act safely, minimize the use of resources (energy, material, process-, development-, and commissioning-time), and adapt to variations in demands and environmental conditions. The key to a reliable design of such robotic systems is holistic design approaches embracing kinematic synthesis, dynamic analysis, control, sensory perception, and adaptability.
The mechanical embodiment, as the starting point of any robot design, must be designed together with control, actuation, and sensory components. Novel mechanical design principles combining high-fidelity kinematic and dynamic models with data-driven methods are applied along with model-free machine learning (ML) and artificial intelligence (AI) methods. The foundation is a synergetic combination of research in mechanism theory and dynamical systems and control.
This Joint Special Issue (published over two volumes, one in each sponsoring journal) aims to bridge these research fields and bring together the latest research on robot kinematics and dynamics as well as intelligent control and data-driven methods for perception, planning, model identification and control.
• Holistic approaches to design, analysis, and control of mechanisms and robots
• Physical human-robot interaction (pHRI)
• Industrial robots, Cable-driven robots and platforms
• Legged and humanoid robots
• Robots equipped with series-elastic actuators (SEA)
• Intrinsic and extrinsic sensors for compliant robots
• Soft and continuum robots
• Embodied and mechanical intelligence
• Model-based and robust control
• Physics-based AI, data-driven and combined approaches to robot dynamics and control
Publication Target Dates
Paper Submission Deadline: Extended to June 13, 2022
Initial Review Completed: Extended to November 15, 2022
Decisions Due: Extended to February 15, 2023
Joint Special Issue Publication Date: Extended to June 2023
Papers should be submitted electronically to the journals at journaltool.asme.org. If you already have an account, log in as author and select Submit Paper at the bottom of the page. If you do not have an account, select Submissions and follow the steps. In either case, at the Paper Submittal page, select the ASME Journal of Computational and Nonlinear Dynamics or the ASME Journal of Mechanisms and Robotics and then select the Joint Special Issue Design and Control of Responsive Robots. Please note that in order to balance the Joint Special Issue between journals, Editors-in-Chief may recommend that a paper be transferred from one journal to the other. Final decisions about any transfer will be made in consultation with the Corresponding Author.
Papers received after the deadline or papers not selected for inclusion in the Joint Special Issue may be accepted for publication in a regular issue.
Andreas Müller, Johannes Kepler University Linz, Austria, firstname.lastname@example.org
Jozsef Kovecses, McGill University, Canada, email@example.com
Charles Kim, Bucknell University, USA, firstname.lastname@example.org
Chandramouli Padmanabhan, Indian Institute of Technology Madras, India, email@example.com
Gabor Orosz, University of Michigan, USA, firstname.lastname@example.org
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The Editor and Editorial Board of the Journal of Computational and Nonlinear Dynamics would like to thank all of the reviewers for volunteering their expertise and time reviewing manuscripts in 2021. Serving as a reviewer for the journal is a critical service necessary to maintain the quality of our publication and to provide the authors with a valuable peer review of their work. In addition, we would also like to acknowledge four outstanding Reviewers of the Year.
Andrew Sloboda - Bucknell University, USA
Antonio M. Recuero - Idaho National Laboratory, USA
Aki Mikkola - Lappeenranta University of Technology, Finland
Niall Mangan - Northwestern University, USA
The Reviewers of the Year Award is given to reviewers who have made an outstanding contribution to the journal in terms of the quantity, quality, and turnaround time of reviews completed during the past 12 months. The prize includes a Wall Plaque, 50 free downloads from the ASME Digital Collection, and a 1-year free subscription to the journal.