2.5k citations
- National Research CouncilLK45 papers
- University of BolognaIT12 papers
- Universidad Carlos III de MadridES11 papers
- Sapienza University of RomeIT9 papers
- Middlesex University LondonGB4 papers
- Sorbonne UniversitéFR4 papers
- University College LondonGB4 papers
- University of SheffieldGB4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Institut Systèmes Intelligents et de RobotiqueFR3 papers
- Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"IT3 papers
- KU LeuvenBE3 papers
7 papers · 1 filter
Hanging Around: Cognitive Inspired Reasoning for Reactive Robotics
Mihai Pomarlan, Stefano De Giorgis, Rachel Ringe +2
Situationally-aware artificial agents operating with competence in natural environments face several challenges: spatial awareness, object affordance detection, dynamic changes and…
The Wilhelm Tell Dataset of Affordance Demonstrations
Rachel Ringe, Mihai Pomarlan, Nikolaos Tsiogkas +3
Affordances - i.e. possibilities for action that an environment or objects in it provide - are important for robots operating in human environments to perceive. Existing approaches…
Deep Learning for Human Locomotion Analysis in Lower-Limb Exoskeletons: A Comparative Study
Omar Coser, Christian Tamantini, Matteo Tortora +4
Wearable robotics for lower-limb assistance have become a pivotal area of research, aiming to enhance mobility for individuals with physical impairments or augment the performance…
The Autonomy-Alignment Problem in Open-Ended Learning Robots: Formalising the Purpose Framework
Gianluca Baldassarre, Richard J. Duro, Emilio Cartoni +3
The rapid advancement of artificial intelligence is enabling the development of increasingly autonomous robots capable of operating beyond engineered factory settings and into the…
Optimal task and motion planning and execution for human-robot multi-agent systems in dynamic environments
Marco Faroni, Alessandro Umbrico, Manuel Beschi +3
Combining symbolic and geometric reasoning in multi-agent systems is a challenging task that involves planning, scheduling, and synchronization problems. Existing works overlooked…
REAL-X -- Robot open-Ended Autonomous Learning Architectures: Achieving Truly End-to-End Sensorimotor Autonomous Learning Systems
Emilio Cartoni, Davide Montella, Jochen Triesch +1
Open-ended learning is a core research field of developmental robotics and AI aiming to build learning machines and robots that can autonomously acquire knowledge and skills increm…