🌟 What is Roboranking?

Roboranking is a ranking system for the robotics community to help students match universities and faculties. It also provides faculty greater visibility for collaboration opportunities. Watch the video below for quick information.

Roboranking focus on the most prestigious publications in the field, including top journals like IJRR, TRO, Science Robotics, and renowned conferences like RSS, ICRA, and IROS. At the same time, it also considers selected venues from related specialized areas, empowering researchers to best align with their interests and goals.

🌟 What Makes It Special?

Beyond rankings, Roboranking is a one-stop resource for:

✅ Faculty information (homepages, Google Scholar, and DBLP profiles)
✅ Insights into universities excelling in robotics research
✅ Helping students and faculty find their perfect match!

Roboranking covers more than 60 countries, 750 universities and institutes, and 7,000 faculty members, offering a global and comprehensive perspective on robotics education and research.

🌟 What we aim to bring?

✅ Rank Universities: Present dynamic, data-driven rankings of universities excelling in robotics, based on factors such as research output, industry collaboration, funding, and innovation impact.
✅ Highlight Faculty Profiles: Showcase robotics faculty members, their research, projects, and collaborations to foster connections within the community.
✅ Enable Collaboration: Serve as a hub for identifying potential collaborators, research opportunities, and emerging trends in robotics.
✅ Support Career Growth: Offer insights for students, early-career researchers, and professionals into top robotics programs, influential faculty, and cutting-edge research areas.
✅ Promote Transparency: Maintain an open, objective ranking methodology with user feedback and regular updates to ensure relevance and accuracy.

🌟 What should be noted?

While top-tier publications may reflect the impact of a university, to some extent, in a particular field, they do not necessarily indicate the research impact of an individual faculty member.
We notice that high-quality research does not always appear in top-tier venues, and research excellence is not solely determined by the number of top-tier publications.
Therefore, we will not provide rankings for individual faculty members and strongly discourage the pursuit of research with the sole aim of increasing the number of top-tier publications.

🔗 Check it out: https://roboranking.org

We hope this platform becomes a valuable tool for aspiring researchers, students, and faculty alike. Your feedback and support mean the world – feel free to share your thoughts! 🙌

🌟 Correction Request

Similar to other ranking systems, Roboranking is not perfect. However, we are committed to continuous improvement and ensuring the highest level of data accuracy. If you notice any missing faculty members or incorrect info, please fill out the Google form on the website, and we’ll update it ASAP.

Acknowledgement

We also thank Shaoshu Su, Zhipeng Zhao, Maihan Wen, and many other contributors who made this system possible.

We would also like to acknowledge the generous sponsorship provided by the IEEE RAS TC for Computer & Robot Vision.