Call for papers
The call for papers is now open.
Areas of interest
We will accept submissions focusing on Aligning Robot Representations with Humans. Topics include but are not limited to:
- Human Representations: What kind of representations do humans form about their surrounding world to plan and accomplish their goals effectively?
- Robot Representations: Conversely, what kinds of representations should robots learn in order to be most aligned with what humans care about? Should we represent the world using features? Knowledge graphs? Object-centric representations? Is it important that we learn representations that generalize across many tasks or should we always directly specialize?
- The Role of Human Input for Learning Representations: When and to what extent is human input necessary for learning good robot representations? Should we try to eliminate human input from representation alignment as best as possible or should we focus our efforts on enabling people to give the right kinds of input to distill their knowledge into the robot? What are the best types of human input for distilling a person’s knowledge of the world into the robot and aligning their representations?
- The Role of Simulators for Building Representations: What is the value of simulation for representation alignment? As a community, should we spend all the human effort building simulators with good assets and just collect a lot of human data OR should we focus our research effort into figuring out effective teaching strategies?
- Bi-directional Human-Robot Communication: How can robots be more transparent about what representation they do or don’t know such that humans can more appropriately communicate what it is they care about? What is the role of domains such as vision and natural language in helping humans communicate representations to robots? In robots communicating representations to humans?
We welcome research papers of 4-8 pages, not including references or appendix.
The paper submission deadline is on October 21st, 11:59 pm (AOE)
. Papers should be submitted to https://cmt3.research.microsoft.com/CoRLARRH2022
. Submissions should follow the CoRL template
, and be submitted as .pdf files. The review process will be double blind, and therefore the papers should be appropriately anonymized.
All accepted papers will be given oral presentations (lightning talks or spotlight talks) as well as poster presentations. For the oral presentations, authors would have the option to present in-person or remotely. The poster session will be held in-person and virtually on Gather.Town. Accepted papers will be made available online on the workshop website as non-archival reports, allowing submissions to future conferences or journals.
Submission deadline: Friday, October 21st, 2022 (11:59 pm AOE).
Author Notifications: Friday, November 11th, 2022.
Camera Ready: Friday, November 25th, 2022 (11:59 pm AOE).
Workshop: Thursday, December 15th, 2022, Auckland, NZ.