As human-machine interaction contexts become increasingly prevalent, it becomes crucial to identify and formalize the characteristics and parameters influencing trust. This enables the creation of agents capable of inducing higher trust and recognizing whether a partner is trustworthy or not. In...
04b Atto di convegno in volume
-
-
Transfer Learning between non-Markovian RL Tasks through Semantic Representations of Temporal StatesReinforcement Learning (RL) faces challenges in transferring knowledge across tasks efficiently. In this work we focus on transferring policies between different temporally extended tasks expressed in Linear Temporal Logic. Existing methodologies either rely on task-specific representations or...
-
This paper presents a novel method to maintain the dynamic balance of a Mobile Manipulator (MM) during the pick-up of heavy objects. The approach entails the generation of a preliminary reach-to-grasp trajectory, which is subsequently refined by an Optimization-Based Controller (OBC) formulated as...
-
This paper proposes a vision-based control scheme for safe robot navigation in crowded environments. Unlike traditional methods relying on LiDAR or laser rangefinders, our approach leverages an RGB-D camera to capture rich visual information about the surroundings, allowing for a more comprehensive...
-
Quorum sensing is a key mechanism enabling coordinated behaviour in populations of autonomous agents, and is extensively stud- ied in biological systems spanning from bacteria populations to social insects. In swarm robotics too, quorum sensing aroused much interest, but remained mostly constrained...
-
Type 1 diabetes is one of the major concerns in current medical studies. Traditional clinical practice involves non-autonomous manual injection of insulin in the blood, while current research in the field of autonomous regulation of blood glucose concentration mostly focuses on model-based control...
-
This paper introduces a microservices-based architecture de- signed for executing complex linguistic tasks using Large Language Mod- els (LLMs) and Knowledge Graphs (KGs). It has been conceived by fo- cusing on the legal domain, and it integrates Domain-specific KGs and Constraint KGs to address...
-
In the field of digital humanities, the mode of information consumption constitutes a fundamental factor in the quality of research. The structuring of data into knowledge graphs provides a valuable tool for navigating concepts and exploring new ideas. However, the information are often spread...
-
In-Space Manufacturing (ISM) involves the production of goods directly in the space environment. This is a paradigm shift from traditional Earth-based manufacturing. The paper aims to identify a structured research pathway to assess the opportunities of ISM from a supply chain perspective....
-
This paper examines the enhancement of occupational safety and health (OSH) training in manufacturing through the integration of Safety-II prin-ciples within a Virtual Reality (VR) training framework, applying the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. Amidst...