[robotics-worldwide] [Meetings] CfP RSS 2016 Workshop on Model Learning for Human-Robot Communication

Matthew Walter mwalter at ttic.edu
Mon Apr 11 11:47:48 PDT 2016


RSS 2016 Full-Day Workshop on Model Learning for Human-Robot Communication

July 19, 2016
Ann Arbor, Michigan


We are excited to announce the full-day workshop "Model Learning for Human-Robot Communication" at Robotics: Science and Systems 2016.  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


May  12, 2016: Abstract/Paper Submission Deadline
May  19, 2016: Abstract/Paper Notification
July 19, 2016: 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://urldefense.proofpoint.com/v2/url?u=https-3A__cmt3.research.microsoft.com_MLHRC2016&d=CwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=syS415E2t5XWqEfk1GOrao793D-VUE4kdzMb1BDYWAE&s=dcxNGVsQBKJ7FihsVr-KoG4Fki1NFvz4Z-dYSZ5_4tw&e= .


Hadas Kress-Gazit, Cornell University
Chad Jenkins, University of Michigan
Stefanie Tellex, Brown University
Andrea Thomaz, University of Texas at Austin

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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