[robotics-worldwide] [meetings] Second CFP: RSS 2017 Workshop on Spatial-Semantic Representations in Robotics

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[robotics-worldwide] [meetings] Second CFP: RSS 2017 Workshop on Spatial-Semantic Representations in Robotics

Matthew Walter-2

Robotics: Science and Systems 2017 Workshop on Spatial-Semantic Representations in Robotics

July 16, 2017
Cambridge, MA



We are excited to announce the workshop "Spatial-Semantic Representations in Robotics" at RSS 2017. This workshop brings together a multidisciplinary group of researchers working at the intersection of robotics, computer vision, simultaneous localization and mapping, and learning. The forum will provide an opportunity for people to showcase recent efforts to develop models and algorithms for jointly representing spatial and semantic characteristics of complex, unstructured environments. The program is anticipated to combine invited and contributed talks from faculty, postdocs, and students with interactive discussions to provide an atmosphere for discourse on recent progress towards and challenges to environment representation learning.


We welcome contributions from a broad range of areas related to the development of environment representations and algorithms for learning and adapting these representations across a variety of domains. We particularly encourage recent and ongoing research at the intersection of robotics and fields that include natural language processing, machine learning, and computer vision.

Topics of interest include, but are not limited to:

Robot knowledge representations
Spatial-semantic mapping
Semantic perception
Spatial-semantic representations for planning
Spatial language modeling and interpretation
Common datasets for training and benchmarking


June  1, 2017: Abstract/Paper Submission Deadline
June 15, 2017: Abstract/Paper Notification
July 16, 2017: Workshop


We invite participants to submit extended abstracts or full papers that describe recent or ongoing research. We encourage authors to accompany their submissions with a video that describes or demonstrates their work. Authors of accepted abstracts/papers will have the opportunity to disseminate their work through an oral presentation.  Papers (max six pages, excluding references) and abstracts (max two pages, excluding references) should be in PDF format and adhere to the RSS paper format. Note that reviews will not be double blind and submissions should include the author names and affiliations.

Papers, abstracts, and supplementary materials can be submitted by logging into the conference management website located at



Dieter Fox (University of Washington)
John Leonard (Massachusetts Institute of Technology)
Michael Milford (Queensland University of Technology)


Thomas M. Howard  (University of Rochester)
Matthew R. Walter  (Toyota Technological Institute at Chicago)
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