Connectionists: Deadline extended! IROS 2022 Workshop on Lifelong Learning of High-level Cognitive and Reasoning Skills

[Emre Ugur]

Call for Papers: IROS 2022 Workshop on Lifelong Learning of High-level
Cognitive and Reasoning Skills

Submission deadline extended!

A Full-day Hybrid Event October 23, 2022
https://lifelongrobotics.github.io

Important dates
- Paper/Abstract Submission Deadline: Sep 30, 2022
- Acceptance Notification: October 07, 2022
- Workshop date: Oct 23, 2022

Invited Speakers:
- Eric Eaton, University of Pennsylvania
- George Konidaris, Brown University
- Jeff Clune, OpenAI, University of British Columbia
- Jun Tani, Okinawa Institute of Science and Technology
- Minoru Asada, Osaka University
- Stefanie Tellex, Brown University
- Tamim Asfour, Karlsruhe Institute of Technology
- Yukie Nagai, University of Tokyo

This workshop will focus on how to create open-ended or life-long learning
systems that will allow for a robot to autonomously explore its environment
and learn ever-growing representations for perception and actuation. This
is an underexplored area in robotics and
artificial intelligence research that can contribute to the development of
generally capable agents. We will discuss the necessary elements (e.g.,
methods, environments, datasets, embodiments) for a life-long learning
setting. We will encourage participants to take
part in discussions with the following points:
- How to adopt the current open-ended methods for life-long robot learning
- Are the current machine learning methods sufficient for life-long learning
- How to combine the current toolset of ML for life-long learning
- How to design end-to-end systems for life-long learning
- What are the necessary components for a life-long learning system? Which
parts should we take for granted?
- How to design appropriate environments both in simulation and  real-world
that support life-long learning

Submissions:
We accept regular papers (up to 8 pages of unpublished work) and extended
abstracts (up to 4 pages of novel work or from a recently published paper)
in standard IEEE format, excluding unlimited pages for references. The
review process will be single-blind. 10 minutes will be allocated for each
regular paper, and 2-10 minutes for each  extended abstract. Papers will be
submitted through CMT
(https://cmt3.research.microsoft.com/LLR2022).

The topics that are indicative but by no means exhaustive are as follows:

- Open-ended learning, life-long learning
- Continual learning, transfer learning, catastrophic forgetting
- Multi-task learning, meta-learning
- Modularity
- Computational approaches to the study of development and learning
- Machine learning techniques for robot learning and development
- Cognitive and perceptual development
- Concept formation and symbol grounding
- Imitation learning
- Embodied cognition
- Affordance learning
- Interactive learning
- Exploration and learning in animals and robots
- Curiosity and intrinsic motivation
- Skill and language acquisition
- Human assisted learning and scaffolding
- Human-robot interaction

Organizing Committee:
- Alper Ahmetoglu (contact person), Bogazici University
- M. Tuluhan Akbulut (contact person), Brown University
- Erhan Oztop, Ozyegin University / Osaka University
- Justus Piater, University of Innsbruck
- Tadahiro Taniguchi, Ritsumeikan University
- Emre Ugur, Bogazici University
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