We actively encourage young researchers, PhD and Master students to submit poster paper presenting preliminary results, ongoing works and demos. Please consider the following points for your submission:
The papers will be peer-reviewed and acceptance will be based on the quality of the contribution, originality and relevance to the workshop's topics of interest.
Integrating External (prior) Knowledge into Unsupervised or Supervised Models
Machine learning to acquire commonsense knowledge and robots' knowledge graphs .
Stream reasoning and stream machine learning: continual, active, deep reinforcement learning.
Combining logics with deep neural nets, neuro-symbolic reasoning and learning.
Commonsense reasoning, including deductive, default, defeasible, epistemic reasoning, argumentation.
Spatial and temporal reasoning.
Symbolic representations extended to reason about uncertainty.
Probabilistic action theories.
Knowledge based perception and control.
Knowledge based human-robot interaction and/or joint actions.
Constraint programming and learning.
Trustworthy AI for ethical and transparent robotic decision making.
Applications: ambient assisted living, healthcare, autonomous-driving, industry 4.0, etc.