Special Issue on Bioinspired Motor Control for Articulated Robots
Deadline for Paper Submission: 15 March 2015
Publication Schedule: December 2015
IEEE Robotics and Automation Magazine seeks articles for a Special Issue on Bioinspired Motor Control of Articulated Robots. The use of bioinspired solutions for controlling articulated robots is considerably increasing. Particularly, the idea of generating movements out of the combination of a subset of basic primitives is very promising for simplifying both learning and control of complex movements in articulated robots.
The scientific challenges related to the use of bioinspired approaches, and specifically motor primitives, for controlling articulated robots can be grouped in the following main topics: learning and adaptivity, smooth rejection of disturbances and stabilization, coordination of multiple (redundant) joints, computational complexity and modularity, and optimality principles for motor planning and execution.
The scope of this special issue encompasses articles that address one or more of the aforementioned challenges related to the use of Bioinspired Motor Control of Articulated Robots. Application scenarios include (but are not limited to):
• Humanoid robotics,
• Bipedal walking robots,
• Multi-legged robots,
• Swimming robots,
• Exoskeletons and active orthoses for motion assistance and rehabilitation.
Theoretical work will be considered provided that there is a clear focus on possible applications and long-term impact on robotics and automation. Articles shall provide clear evidence of the advantages of the proposed bioinspired control solutions with respect to state-of-the-art approaches.
Call for papers: November 2014
Deadline for paper submission: 15 March 2015
First review: August 2015
Final review: September 2015
Publication: December 2015
Nicola Vitiello, The BioRobotics Institute, Scuola Superiore Sant’Anna (Italy),
Auke Ijspeert, Biorobotics Laboratory at École Polytechnique Fédérale de Lausanne - EPFL (Switzerland), email@example.com
Stefan Schaal, Computer Science, Neuroscience, and Biomedical Engineering, University of Southern California (USA),