Search Results - "Meli Daniele"

Dynamic Movement Primitives: Volumetric Obstacle Avoidance Using Dynamic Potential Functions by Ginesi, Michele, Meli, Daniele, Roberti, Andrea, Sansonetto, Nicola, Fiorini, Paolo

“…Obstacle avoidance for Dynamic Movement Primitives (DMPs) is still a challenging problem. In our previous work, we proposed a framework for obstacle avoidance…”
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Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach by Meli, Daniele, Castellini, Alberto, Farinelli, Alessandro

“…Partially Observable Markov Decision Processes (POMDPs) are a powerful framework for planning under uncertainty. They allow to model state uncertainty as a…”
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Inductive learning of answer set programs for autonomous surgical task planning: Application to a training task for surgeons by Meli, Daniele, Sridharan, Mohan, Fiorini, Paolo

“…The quality of robot-assisted surgery can be improved and the use of hospital resources can be optimized by enhancing autonomy and reliability in the robot’s…”
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Unsupervised Identification of Surgical Robotic Actions From Small Homogeneous Datasets by Meli, Daniele, Fiorini, Paolo

“…Robot-assisted surgery is an established clinical practice. The automatic identification of surgical actions is needed for a range of applications, including…”
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Logic programming for deliberative robotic task planning by Meli, Daniele, Nakawala, Hirenkumar, Fiorini, Paolo

“…Over the last decade, the use of robots in production and daily life has increased. With increasingly complex tasks and interaction in different environments…”
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Inductive learning of answer set programs for autonomous surgical task planning by Meli Daniele, Sridharan Mohan, Fiorini, Paolo

“…The quality of robot-assisted surgery can be improved and the use of hospital resources can be optimized by enhancing autonomy and reliability in the robot’s…”
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Unsupervised Identification of Surgical Robotic Actions From Small Non-Homogeneous Datasets by Meli, Daniele, Fiorini, Paolo

“…Robot-assisted surgery is an established clinical practice. The automatic identification of surgical actions is needed for a range of applications, including…”
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Autonomous task planning and situation awareness in robotic surgery by Ginesi, Michele, Meli, Daniele, Roberti, Andrea, Sansonetto, Nicola, Fiorini, Paolo

“…The use of robots in minimally invasive surgery has improved the quality of standard surgical procedures. So far, only the automation of simple surgical…”
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Improving Rigid 3-D Calibration for Robotic Surgery by Roberti, Andrea, Piccinelli, Nicola, Meli, Daniele, Muradore, Riccardo, Fiorini, Paolo

“…Autonomy is the next frontier of research in robotic surgery and its aim is to improve the quality of surgical procedures in the next future. One fundamental…”
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Mapping natural language procedures descriptions to linear temporal logic templates: an application in the surgical robotic domain by Bombieri, Marco, Meli, Daniele, Dall’Alba, Diego, Rospocher, Marco, Fiorini, Paolo

“…Natural language annotations and manuals can provide useful procedural information and relations for the highly specialized scenario of autonomous robotic task…”
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Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series by Meli, Daniele

“…Online unsupervised detection of anomalies is crucial to guarantee the correct operation of cyber-physical systems and the safety of humans interacting with…”
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Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series by Meli, Daniele

“…Online unsupervised detection of anomalies is crucial to guarantee the correct operation of cyber-physical systems and the safety of humans interacting with…”
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Unsupervised identification of surgical robotic actions from small non homogeneous datasets by Meli, Daniele, Fiorini, Paolo

“…IEEE Robotics and Automation Letters, vol.6, issue 4, October 2021 Robot-assisted surgery is an established clinical practice. The automatic identification of…”
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Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach by Meli, Daniele, Castellini, Alberto, Farinelli, Alessandro

“…Journal of Artificial Intelligence Research, volume 79 (2024), pp. 725-776 Partially Observable Markov Decision Processes (POMDPs) are a powerful framework for…”
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Logic programming for deliberative robotic task planning by Meli, Daniele, Nakawala, Hirenkumar, Fiorini, Paolo

“…Over the last decade, the use of robots in production and daily life has increased. With increasingly complex tasks and interaction in different environments…”
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Planning and Inverse Kinematics of Hyper-Redundant Manipulators with VO-FABRIK by Morasso, Cristian, Meli, Daniele, Divet, Yann, Sessa, Salvatore, Farinelli, Alessandro

“…Hyper-redundant Robotic Manipulators (HRMs) offer great dexterity and flexibility of operation, but solving Inverse Kinematics (IK) is challenging. In this…”
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Deliberation in autonomous robotic surgery: a framework for handling anatomical uncertainty by Tagliabue, Eleonora, Meli, Daniele, Dall'Alba, Diego, Fiorini, Paolo

“…Autonomous robotic surgery requires deliberation, i.e. the ability to plan and execute a task adapting to uncer-tain and dynamic environments. Uncertainty in…”
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Autonomous tissue retraction with a biomechanically informed logic based framework by Meli, Daniele, Tagliabue, Eleonora, Dall'Alba, Diego, Fiorini, Paolo

“…Autonomy in robot-assisted surgery is essential to reduce surgeons' cognitive load and eventually improve the overall surgical outcome. A key requirement for…”
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Learning Logic Specifications for Soft Policy Guidance in POMCP by Mazzi, Giulio, Meli, Daniele, Castellini, Alberto, Farinelli, Alessandro

“…Partially Observable Monte Carlo Planning (POMCP) is an efficient solver for Partially Observable Markov Decision Processes (POMDPs). It allows scaling to…”
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A knowledge-based framework for task automation in surgery by Ginesi, Michele, Meli, Daniele, Nakawala, Hirenkumar, Roberti, Andrea, Fiorini, Paolo

“…Robotic surgery has significantly improved the quality of surgical procedures. In the past, researches have been focused on automating simple surgical actions…”
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