Trends and Advances in Machine Learning and Automated Reasoning for Intelligent Robots and Systems

Workshop in conjunction with the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems


The workshop intends to bring together researchers from different sub-fields of artificial intelligence to discuss how best to address challenges in machine learning and automated reasoning for intelligent robots and systems. Invited expert speakers will present the recent machine-learning methods but also knowledge representation and reasoning approaches, hybrid frameworks combining machine learning and automated reasoning, decision theories and systems, and their applications for robotic and intelligent systems. This workshop will also address important topics related to performance evaluation of artificial intelligence systems and initiatives on standards of knowledge representation and reasoning in robotics and on ethics of intelligent robots and systems.

The specific issues of how to improve robot intelligence and provide a more general vision of the research in the covered topics than what is typically feasible in a regular contribution. This is why this workshop will mostly consist in invited talks from established members of the community, complemented by interactive sessions for younger researchers. Finally, the topics covered in this workshop are often scattered among various sessions such as machine learning, knowledge representation and reasoning, augmented artificial intelligence, performance evaluation of AI systems and Initiatives on standards of knowledge representation

This workshop is endorsed by the following IEEE RAS Technical Committees:

The solicited papers address, but are not limited to, the following topics:

  • General machine learning: online learning, active learning, reinforcement learning, clustering, semi-supervised learning, unsupervised learning, etc.
  • Transfer learning and domain adaptation
  • Deep learning, deep reinforcement Learning, generative models, etc.
  • Learning theory : statistical learning theory, game theory, etc.
  • Ensemble Methods
  • Probabilistic Inference: graphical models, Bayesian methods, Monte Carlo methods, etc.
  • Knowledge representation and reasoning: Ontologies & Rules, Default/Defeasible/Argumentation/ Epistemic reasoning, etc
  • Planning & Replanning
  • Multi-Agent Systems
  • Decision theories
  • Perception
  • Human-robot interaction
  • NLP and conversational AI
  • Human Interpretability of Machine Learning

Five to six contributed papers (2 pages) will be accepted based on their quality, originality, and relevance to the workshop. Authors of selected papers will be asked to submit extended versions of their papers for a special issue in a journal. Submitted papers should not be under consideration for publication anywhere else. Submission of papers and review process will be handled through EasyChair conference management system. Submissions should follow the IROS format.

  • Papers submission deadline: September 3th, 2020
  • Acceptance Notification: September 19th, 2020
  • Camera Ready deadline: October 12th, 2020
  • Registration deadline: see IROS web site
  • Workshop date: October 29th, 2020.





Binghamton University