41 citations · 189 across the 29 of their papers we have counts for
11 papers · 1 filter
Humanoid Horizon: Extending Task Horizon in Whole-Body Loco-Manipulation via Parallel Training, Dynamic Starting, and Reward Gating
Haozhuo Zhang, Qiang Zhang, Jian Tang +4
Cluttered indoor environments, where large and heavy objects are scattered across diverse surfaces, require humanoid robots to sequentially navigate, grasp, transport, and accurate…
Proceeding of the 1st Workshop on Social Robots Personalisation At the crossroads between engineering and humanities (CONCATENATE)
Imene Tarakli, Georgios Angelopoulos, Mehdi Hellou +9
Nowadays, robots are expected to interact more physically, cognitively, and socially with people. They should adapt to unpredictable contexts alongside individuals with various beh…
Signs of Language: Embodied Sign Language Fingerspelling Acquisition from Demonstrations for Human-Robot Interaction
Federico Tavella, Aphrodite Galata, Angelo Cangelosi
Learning fine-grained movements is a challenging topic in robotics, particularly in the context of robotic hands. One specific instance of this challenge is the acquisition of fing…
CASPER: Cognitive Architecture for Social Perception and Engagement in Robots
Samuele Vinanzi, Angelo Cangelosi
Our world is being increasingly pervaded by intelligent robots with varying degrees of autonomy. To seamlessly integrate themselves in our society, these machines should possess th…
Human-robot collaboration and machine learning: a systematic review of recent research
Francesco Semeraro, Alexander Griffiths, Angelo Cangelosi
Technological progress increasingly envisions the use of robots interacting with people in everyday life. Human-robot collaboration (HRC) is the approach that explores the interact…
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…
Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction
Mohammad Thabet, Massimiliano Patacchiola, Angelo Cangelosi
Deep reinforcement learning has proven to be a great success in allowing agents to learn complex tasks. However, its application to actual robots can be prohibitively expensive. Fu…
AFA-PredNet: The action modulation within predictive coding
Junpei Zhong, Angelo Cangelosi, Xinzheng Zhang +1
The predictive processing (PP) hypothesizes that the predictive inference of our sensorimotor system is encoded implicitly in the regularities between perception and action. We pro…
A Hierarchical Emotion Regulated Sensorimotor Model: Case Studies
Junpei Zhong, Rony Novianto, Mingjun Dai +2
Inspired by the hierarchical cognitive architecture and the perception-action model (PAM), we propose that the internal status acts as a kind of common-coding representation which…
Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs
Junpei Zhong, Martin Peniak, Jun Tani +2
The paper presents a neurorobotics cognitive model to explain the understanding and generalisation of nouns and verbs combinations when a vocal command consisting of a verb-noun se…