Objectives

Regulating autonomy of AI systems is a crucial challenge in AI, especially in contexts where they are immersed in and interact with human society. In these cases, the systems need the ability to operate and learn autonomously, while understanding when their decisions are unsafe, questionable or unethical, and thus human supervision is required. Since situations are more and more frequent where systems exhibiting a high degree of autonomy are embodied into physical devices, such as robots, this form of adjustable autonomy also needs to take into account the specificities of the devices where the systems are physically embodied. In order to unify these two perspectives, scientific foundations, techniques, and tools for adjustable autonomy need to be devised, so as to equip software and/or physical AI systems with the required abilities to operate and learn in human environments, while being fully integrated in the environment and trustworthy.

The objective of this open PhD tutorial is to provide an overview of the recent advances in the area, to Ph.D. students and researchers interested in investigating all the aspects of combining Adjustable Autonomy and Physical Embodied Intelligence. 

Format

The tutorial consists in 4 short (~45mins) lectures on selected topics, to be held in the afternoon session.

Important Dates

Abstract submission: August 3 August 15, 2025 (23.59 AOE)

Notification: August 10 August 20, 2025

Tutorial: September 2

Registration: check ECMR registration page

Posters

Participants interested in presenting the results of their research are invited to prepare a poster. Topics related to all aspects of Adjustable Autonomy and Physical Embodied Intelligence are welcome. Besides original ideas, recent work currently submitted to or accepted at other venues are also welcome.

Typical contributions relate (but are not limited) to the following topics:

• Humans and AI

• Knowledge Representation and Reasoning

• Machine Learning and Reinforcement Learning

• AI and Robotics

• Logic-based approaches for AI

• Fairness, Ethics, and Trust

• Multi-Agent Systems

• Human-Robot Interaction and cooperation

• Embodied Intelligence

• Robot Learning

• Planning, execution and monitoring for autonomy

• LLMs for embedded autonomy

• Experiences in deploying embedded autonomy, from conception to maturity in practice

Accepted contributions will be presented in-person during poster sessions. There will be no proceedings.

Submission Instructions

To present a poster, use this form to submit a short abstract describing your research work.

Organizers

Fabio Patrizi - Sapienza University of Rome

Luca Iocchi - Sapienza University of Rome

Contacts

Fabio Patrizi - patrizi@diag.uniroma1.it