[robotics-worldwide] [meetings] RSS 2015 Full-Day Workshop on Model Learning for Human-Robot Communication

Howard, Thomas thoward at ece.rochester.edu
Mon Apr 13 13:08:27 PDT 2015


RSS 2015 Full-Day Workshop on Model Learning for Human-Robot Communication
July 16, 2015
Rome, Italy

We are excited to announce the full-day workshop "Model Learning for Human-Robot Communication" at Robotics: Science and Systems 2015.  This workshop brings together a multidisciplinary group of researchers working at the intersection of robotics, machine perception, natural language processing, and machine learning. This forum provides an opportunity for people to showcase recent efforts to develop models and algorithms capable of efficiently understanding natural, unstructured methods of communication in the context of complex, unstructured environments. The program combines invited and contributed talks with interactive discussions to provide an atmosphere for discourse on progress towards and challenges that inhibit bidirectional human-robot communication.


We welcome contributions from a broad range of areas related to the development of models and algorithms that enable natural communication between humans and robots. 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:

Grounded language acquisition/learning
Spatial language modeling and interpretation
Gesture recognition
Sketch recognition
Semantic knowledge representations for space and actions
Spatial-semantic mapping
Semantic perception
Activity recognition
Language synthesis
Human-robot dialog
Common datasets for training and benchmarking


June 1, 2015: Abstract/Paper Submission Deadline
June 19, 2015: Abstract/Paper Notification
July 16, 2015: Full-Day 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 and an interactive poster session.  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 https://cmt.research.microsoft.com/MLHRC2015/.<https://cmt.research.microsoft.com/MLHRC2015/>


Dieter Fox, University of Washington
Benjamin Kuipers, University of Michigan
Nicholas Roy, Massachusetts Institute of Technology
Ashutosh Saxena, Cornell University
Julie Shah, Massachusetts Institute of Technology


Thomas M. Howard, University of Rochester, thomas.howard at rochester.edu
Matthew R. Walter, Toyota Technological Institute at Chicago, mwalter at ttic.edu

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