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<div style="margin:0px">Call for Papers: Frontiers in Neurorobotics </div>
<div style="margin:0px">Special Issue on Biological-Inspired Autonomous Mobile Manipulation: </div>
<div style="margin:0px">Challenges in Design, Control, and Real-World Applications</div>
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<div style="margin:0px"><a href="https://www.frontiersin.org/research-topics/21266/biological-inspired-autonomous-mobile-manipulation-challenges-in-design-control-and-real-world-appli" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="0" style="margin:0px">https://www.frontiersin.org/research-topics/21266/biological-inspired-autonomous-mobile-manipulation-challenges-in-design-control-and-real-world-appli</a><br>
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Deadline for submission: Dec 15, 2021<br>
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<div style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)">Research in autonomous mobile manipulation aims to develop mobile robotic systems with manipulation capabilities to perform complex tasks in dynamic, unstructured, and field environments,
in which task-tailored design, control, and novel application methods are required. Some widely used applications include, but not limited to, logistic, industrial maintenance, remote medical examination, and service robotic tasks. For this purpose, autonomous
mobile manipulation systems should be able to perform and coordinate different skills, such as locomotion, perception, manipulation and grasping.
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<div style="margin:0px">To acquire more advanced autonomy and operate within the real world, such systems should be further investigated with the following capacities: (1) generality and be adaptive across unseen tasks; (2) perceiving their environments via
sensors that typically deliver high-dimensional data with low response latency and energy efficiency; (3) travelling in challenging scenarios and performing complex tasks with uncertainty; (4) great system stability and complexity to integrate many hardware
components as well as software algorithms for different functionalities.</div>
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<div style="margin:0px">In nature, biological intelligence has great capabilities and generalities to locomote, perceive, and act in the real world exceptionally well and outperforms state-of-the-art robots in almost every aspect of life. Nowadays, more and
more works are investigating biological-inspired for robotic studies in many areas, ranging from the biomimetic mechanical design of robots, neuromorphic sensing and computing to brain-inspired navigation. This research topic seeks to invite theoretical and
experimental results dealing with biological-inspired and conventional techniques for the design, control, and real-world applications for autonomous mobile manipulation systems. Specifically, this research topic investigates interdisciplinary innovation in
many areas of robots, such as information perception, novel control architectures, biomimetic mechanism, motion planning, grasping and manipulation, human-robot interaction, and artificial intelligence and machine learning. We welcome research articles, reviews,
datasets or benchmarks tested in real-world applications.</div>
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<div style="margin:0px">Topics of interest include, but are not limited to:</div>
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<div style="margin:0px">• Biomimetic mechanical design of novel autonomous mobile manipulation systems.</div>
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<div style="margin:0px">• Task-tailored design, control, and real-world applications for autonomous mobile manipulation</div>
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<div style="margin:0px">• Biological-inspired control architecture for autonomous mobile manipulation</div>
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<div style="margin:0px">• Neuromorphic sensing and data fusion for handling high-dimensional state spaces for autonomous mobile manipulation</div>
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<div style="margin:0px">• Biological-inspired motion planning methods for co-control of manipulation and mobile locomotion.</div>
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<div style="margin:0px">• Biological-inspired learning for grasping, manipulation, and navigation skills.</div>
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<div style="margin:0px">• Mapping and localization</div>
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<div style="margin:0px">• Benchmarking and datasets on autonomous mobile manipulation in real-world experiments</div>
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Keywords: Autonomous mobile manipulation, Biological-inspired mechanism design, Biological-inspired control, Neuromorphic sensing and computation<br>
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<div style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)">Guest Editors<br>
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<div style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)">Zhenshan Bing, Technical University of Munich, <span style="margin:0px">Munich, Germany</span></div>
<div style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)"><span style="margin:0px">Fei Chen, </span>Italian Institute of Technology (IIT), <span style="margin:0px">Genova, Italy</span></div>
<div style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)"><span style="margin:0px">Rui LI, </span>Chongqing University, <span style="margin:0px">Chongqing, China</span></div>
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<div style="margin:0px">Junpei Zhong, The Hong Kong Polytechnic University, <span style="margin:0px">Kowloon, Hong Kong</span></div>
<span style="margin:0px"><span style="margin:0px">Qiang Li, </span>Bielefeld University, <span style="margin:0px">Bielefeld, Germany</span></span></span></div>
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