Web: http://arxiv.org/abs/2206.10670

June 23, 2022, 1:12 a.m. | Hermann Blum, Marcus G. Müller, Abel Gawel, Roland Siegwart, Cesar Cadena

cs.CV updates on arXiv.org arxiv.org

In order to operate in human environments, a robot's semantic perception has
to overcome open-world challenges such as novel objects and domain gaps.
Autonomous deployment to such environments therefore requires robots to update
their knowledge and learn without supervision. We investigate how a robot can
autonomously discover novel semantic classes and improve accuracy on known
classes when exploring an unknown environment. To this end, we develop a
general framework for mapping and clustering that we then use to generate a …

arxiv clustering inference mapping open semantic understanding

More from arxiv.org / cs.CV updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY