25 citations · 35 across the 9 of their papers we have counts for
18 papers
LUCID: Latent-Skill Unified Control via Imagined Dynamics for Long-Horizon Humanoid Loco-Manipulation
Cheng Guo, Mingzhe Ni, Angelo Cangelosi +1
Long-horizon humanoid loco-manipulation requires composing versatile whole-body skills and reliable high-level decision making. Existing methods often coordinate pretrained skills…
Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning
Tien Pham, Angelo Cangelosi
Current approaches in Explainable Deep Reinforcement Learning have limitations in which the attention mask has a displacement with the objects in visual input. This work addresses…
The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems
Hongmei He, John Gray, Angelo Cangelosi +3
The trustworthiness of Robots and Autonomous Systems (RAS) has gained a prominent position on many research agendas towards fully autonomous systems. This research systematically e…
When Would You Trust a Robot? A Study on Trust and Theory of Mind in Human-Robot Interactions
Wenxuan Mou, Martina Ruocco, Debora Zanatto +1
Trust is a critical issue in Human Robot Interactions as it is the core of human desire to accept and use a non human agent. Theory of Mind has been defined as the ability to under…
At Your Service: Coffee Beans Recommendation From a Robot Assistant
Jacopo de Berardinis, Gabriella Pizzuto, Francesco Lanza +3
With advances in the field of machine learning, precisely algorithms for recommendation systems, robot assistants are envisioned to become more present in the hospitality industry.…
A robot that counts like a child: a developmental model of counting and pointing
Leszek Pecyna, Angelo Cangelosi, Alessandro Di Nuovo
In this paper, a novel neuro-robotics model capable of counting real items is introduced. The model allows us to investigate the interaction between embodiment and numerical cognit…