10 citations · 18 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
The Robot Data Factory
Sami Haddadin, Ivan Laptev, Ian Reid +18
Physical AI requires more than increasingly large robot datasets: intelligent robots acquire knowledge through continuous interaction with the physical world. We argue that the def…
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…
Deep-Learning-Based Control of a Decoupled Two-Segment Continuum Robot for Endoscopic Submucosal Dissection
Yuancheng Shao, Yao Zhang, Jia Gu +7
Manual endoscopic submucosal dissection (ESD) is technically demanding, and existing single-segment robotic tools offer limited dexterity. These limitations motivate the developmen…
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…