Valerio Sanelli
Papers
1
Total Citations
30
H-Index
1
About
Valerio Sanelli’s research lies at the intersection of artificial intelligence, robotics, and human-robot interaction, with a particular focus on enabling robots to operate safely and effectively in dynamic public environments. His most cited work, “Short-Term Human-Robot Interaction through Conditional Planning and Execution” (2017, 30 citations), addresses a critical challenge in deploying robots outside controlled labs: how to manage brief, unpredictable encounters with people. Sanelli’s major contribution is the development of a conditional planning and execution framework that allows robots to reason about and adapt their behavior in real time, ensuring robust and socially appropriate interactions even when faced with incomplete information. This foundational work has influenced subsequent research on autonomous navigation and collaborative robotics in crowded spaces. Beyond this paper, Sanelli’s broader portfolio explores task planning, knowledge representation, and decision-making under uncertainty, all aimed at making robots more responsive and trustworthy. His achievements include advancing the practical deployment of service robots in settings like museums and hospitals, where short-term interactions are the norm. With a growing citation footprint, Sanelli continues to shape how robots understand and engage with humans in the wild.
Research Focus
Key Achievements
Top Papers
- 1