Aim and Scope

Leveraging the foundation built in the prior workshops SpLU-RoboNLP 2021, SpLU 2020, SpLU-RoboNLP 2019, SpLU 2018 and RoboNLP 2017, we propose the third combined workshop on Spatial Language Understanding and Grounded Communication for Robotics. Natural language communication with general purpose embodied robots has long been a dream inspired by science fiction, and natural language interfaces have the potential to make robots more accessible to a wider range of users. Achieving this goal requires the continuous improvement of and development of new technologies for linking language to perception and action in the physical world. This joint workshop is aimed at bringing together the perspectives of researchers working on physical robot systems and with human users, simulated embodied environments, and multimodal natural language and spatial language understanding to forge collaborations.

Topics of Interest

  1. Aligning and Translating Language to Situated Actions
  2. Evaluation Metrics for Language Grounding and Human-Robot Communication
  3. Human-Computer Interactions Through Natural or Structural Language
  4. Instruction Understanding and Spatial Reasoning Based on Multimodal Information for Navigation, Articulation, and Manipulation
  5. Interactive Situated Dialogue for Physical Tasks
  6. Language-based Game Playing for Grounding
  7. Spatial Language and Skill Learning via Grounded Dialogue
  8. Spatial information extraction in robotics, multimodal environments, navigational instructions
  9. (Spatial) Language Generation for Embodied Tasks
  10. (Spatially-) Grounded Knowledge Representations
  11. Utilization and Limits of Large Language Models for Human Robot Interaction
  12. Inclusive, equitable, and culturally-aware multimodal interactive technologies

Schedule

Invited Speakers

Parisa Kordjamshidi, Michigan State University  
Andy Zeng, Google DeepMind

Call for Submissions

We cordially invite authors to contribute by submitting their long papers and short papers. All submissions must be in compliance with the EMNLP formatting guidelines.

Long Papers

Technical papers: 8 pages excluding references.

Short Papers

Position statements describing previously unpublished work or demos: 4 pages excluding references.

EMNLP Style files:

Template

Submissions website:

Softconf

Non-Archival option:

EMNLP workshops are traditionally archival. To allow dual submission of work to SpLU-RoboNLP 2023 and other conferences/journals, we are also including a non-archival track. Space permitting, these submissions will still participate and present their work in the workshop, and will be hosted on the workshop website, but will not be included in the official proceedings. Please apply the EMNLP format and submit through softconf but indicate that this is a cross submission (non-archival) at the bottom of the submission form.

Important Dates

Organizing Committee

  • Malihe Alikhani
    		•  Northeastern University m.alikhani@northeastern.edu
  • Aishwarya Padmakumar
    		•  Amazon Alexa AI padmakua@amazon.com
  • Xin (Eric) Wang
    		•  University of California, Santa Cruz xwang366@ucsc.edu
  • Yue Fan
    		•  University of California, Santa Cruz yfan71@ucsc.edu
  • Mert Inan
    		•  Northeastern University inan.m@northeastern.edu

    Program Committee

    *If you are interested to join the program committee and participate in reviewing submissions please email Aishwarya Padmakumar including your prior reviewing experience and a link to your publication records in your email.