Special Issue "Mobile Robot Perception: A Themed Issue in Honor of Professor Roland Siegwart"
A special issue of Robotics (ISSN 2218-6581).
Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 297
Interests: mobile robot; field robotics; environment monitoring
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Roland Siegwart is professor for autonomous mobile robots at ETH Zurich, founding co-director of the technology transfer center, Wyss Zurich, and co-founder and board member of multiple high-tech companies. He is a well-known expert in the field of autonomous robot design, perception, and navigation. His career as scientist and promotor of startup companies spans over 35 years.
While studying mechanical engineering at a time when the first personal computers were just beginning to evolve, he became strongly attracted by the amazing opportunities offered by fast-evolving microprocessors, digital control systems, and novel sensors. After gaining experience in the digital control of active magnetic bearings during his PhD, he got infected by the robotics virus and this fast-evolving field at the interface of mechanical and electrical engineering, and computer science. During his career as professor at EPFL (1996–2006) and ETH Zurich (since 2006) he was at the forefront of the basic development of flying (multi-copter, solar airplanes, hybrids) and walking robots. Furthermore, he developed a strong leadership in the field of autonomous navigation with Lidars and cameras.
Roland Siegwart is recipient of the IEEE RAS Pioneer Award and IEEE RAS Inaba Technical Award, IEEE Fellow and Officer of the International Federation of Robotics Research (IFRR). With a H-Index of 112 (Google Scholar) he is among the most cited and influential scientists in robotics world-wide. He is on the editorial board of multiple journals in robotics and was a general chair of several conferences in robotics, including IROS 2002, AIM 2007, FSR 2007, ISRR 2009 and CoRL 2018. He is also a strong promotor of innovation and entrepreneurship and co-founder of more than half a dozen spin-off companies.
This Special Issue is dedicated to celebrating the career of Prof. Roland Siegwart in honor of his contributions in the field of autonomous mobile robots. It will cover a selection of recent research and review articles related to the science and technology of mobile robot perception and sensor-based localization and mapping.
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Robotics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Visual-inertial localization and SLAM
- Event-base cameras for robot navigation
- Feature-based navigation
- LiDar-Vision fusion
- 3D environment perception and understanding
- Semantic slam
- Field robotics
- Walking robots
- Miniature robots
- Visual navigation for UAVs