Riccardo Rasconi

About

Riccardo Rasconi is an Italian researcher whose work spans assistive robotics, ambient intelligence, and autonomous systems, with a career marked by sustained contributions to human-centered AI and robotic planning. He is best known for his central role in the landmark RoboCare project, an ambitious multi-agent initiative combining software agents, autonomous robots, and intelligent sensors to support elderly people living independently at home. This project generated his most influential body of work, with key publications accumulating over 150 citations collectively, establishing him as a notable voice in socially assistive robotics during the mid-2000s. His research demonstrated how proactive, pervasive intelligence could monitor daily routines and provide meaningful assistance without constant human intervention. Beyond elder care, Rasconi has expanded his scope to tackle autonomous robot planning and open-ended learning architectures, including contributions to the ESA-funded IMPACT project, which integrated curiosity-driven learning into classical sense-plan-act control paradigms. More recently, his work on grounding AI plans in real robotic environments signals continued engagement with the frontier challenge of bridging symbolic AI planning and physical robot execution — a thread of inquiry that remains highly relevant to modern robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   RoboCare: an Integrated Robotic System for the Domestic Care of the Elderly

   41 citations · 2003
2. 2
   Supporting interaction in the robocare intelligent assistive environment

   37 citations · 2007
3. 3
   Towards Ambient Intelligence For The Domestic Care Of The Elderly

   28 citations · 2005
4. 4
   RoboCare : pervasive intelligence for the domestic care of the elderly

   25 citations · 2004
5. 5
   The RoboCare project, cognitive systems for the care of the elderly

   24 citations · 2003
6. 6
   Proactive Assistive Technology: An Empirical Study

   22 citations · 2007
7. 7
   Integrating Open-Ended Learning in the Sense-Plan-Act Robot Control Paradigm*

   9 citations · 2020
8. 8
   "Robotically Rich" Environments for Supporting Elderly People at Home: the RoboCare Experience

   6 citations · 2005
9. 9
   Closed-loop production and automation scheduling in RMSs

   5 citations · 2011
10. 10
    An Empirical Study of Grounding PPDDL Plans for AI-Driven Robots in Social Environment

    2 citations · 2024

Key Collaborators

Contact & Links