82 citations · 197 across the 9 of their papers we have counts for
9 papers
Inductive Learning of Robot Task Knowledge from Raw Data and Online Expert Feedback
Daniele Meli, Paolo Fiorini
The increasing level of autonomy of robots poses challenges of trust and social acceptance, especially in human-robot interaction scenarios. This requires an interpretable implemen…
Learning Logic Specifications for Soft Policy Guidance in POMCP
Giulio Mazzi, Daniele Meli, Alberto Castellini +1
Partially Observable Monte Carlo Planning (POMCP) is an efficient solver for Partially Observable Markov Decision Processes (POMDPs). It allows scaling to large state spaces by com…
Logic programming for deliberative robotic task planning
Daniele Meli, Hirenkumar Nakawala, Paolo Fiorini
Over the last decade, the use of robots in production and daily life has increased. With increasingly complex tasks and interaction in different environments including humans, robo…
Deliberation in autonomous robotic surgery: a framework for handling anatomical uncertainty
Eleonora Tagliabue, Daniele Meli, Diego Dall'Alba +1
Autonomous robotic surgery requires deliberation, i.e. the ability to plan and execute a task adapting to uncertain and dynamic environments. Uncertainty in the surgical domain is…
Autonomous tissue retraction with a biomechanically informed logic based framework
D. Meli, E. Tagliabue, D. Dall'Alba +1
Autonomy in robot-assisted surgery is essential to reduce surgeons' cognitive load and eventually improve the overall surgical outcome. A key requirement for autonomy in a safety-c…
Unsupervised identification of surgical robotic actions from small non homogeneous datasets
Daniele Meli, Paolo Fiorini
Robot-assisted surgery is an established clinical practice. The automatic identification of surgical actions is needed for a range of applications, including performance assessment…
Improving rigid 3D calibration for robotic surgery
Andrea Roberti, Nicola Piccinelli, Daniele Meli +2
Autonomy is the frontier of research in robotic surgery and its aim is to improve the quality of surgical procedures in the next future. One fundamental requirement for autonomy is…
Dynamic Movement Primitives: Volumetric Obstacle Avoidance Using Dynamic Potential Functions
Michele Ginesi, Daniele Meli, Andrea Roberti +2
Obstacle avoidance for DMPs is still a challenging problem. In our previous work, we proposed a framework for obstacle avoidance based on superquadric potential functions to repres…
Autonomous task planning and situation awareness in robotic surgery
Michele Ginesi, Daniele Meli, Andrea Roberti +2
The use of robots in minimally invasive surgery has improved the quality of standard surgical procedures. So far, only the automation of simple surgical actions has been investigat…