6 citations · 6 across the 4 of their papers we have counts for
5 papers
MambaAct: Efficient Mamba Action Experts for Flow-Matching Vision-Language-Action Models
Khuyen Pham, Tran Nguyen Le, Edoardo Fazzari +1
Vision-language-action (VLA) models have shown strong promise for generalist robotic manipulation, but their inference cost remains a major bottleneck for real-time control. This l…
SurgiQ: A Large-Scale Multi-Domain Benchmark for Evaluating Surgical Understanding in Large Language Models
Ayah Al-Naji, Edoardo Fazzari, Saif Alkindi +3
Reliable evaluation of large language models in surgery remains underdeveloped. Broad medical benchmarks test clinical knowledge, while surgery requires procedural reasoning, manag…
Hybrid Offline-Online Reinforcement Learning for Sensorless, High-Precision Force Regulation in Surgical Robotic Grasping
Edoardo Fazzari, Omar Mohamed, Khalfan Hableel +2
Precise grasp force regulation in tendon-driven surgical instruments is fundamentally limited by nonlinear coupling between motor dynamics, transmission compliance, friction, and d…
Multimodal Optimal Transport for Training-free Temporal Segmentation in Surgical Robotics
Omar Mohamed, Edoardo Fazzari, Ayah Al-Naji +5
Automated recognition of surgical phases and steps is a fundamental capability for intraoperative decision support, workflow automation, and skill assessment in robotic-assisted su…
Animal Behavior Analysis Methods Using Deep Learning: A Survey
Edoardo Fazzari, Donato Romano, Fabrizio Falchi +1
Animal behavior serves as a reliable indicator of the adaptation of organisms to their environment and their overall well-being. Through rigorous observation of animal actions and…