10 citations · 18 across the 7 of their papers we have counts for
9 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…
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…
A Survey on Soft Robot Adaptability: Implementations, Applications, and Prospects
Zixi Chen, Di Wu, Qinghua Guan +8
Soft robots, compared to rigid robots, possess inherent advantages, including higher degrees of freedom, compliance, and enhanced safety, which have contributed to their increasing…
ZodiAq: An Isotropic Flagella-Inspired Soft Underwater Drone for Safe Marine Exploration
Anup Teejo Mathew, Daniel Feliu-Talegon, Yusuf Abdullahi Adamu +5
The inherent challenges of robotic underwater exploration, such as hydrodynamic effects, the complexity of dynamic coupling, and the necessity for sensitive interaction with marine…
Soft Contact Simulation and Manipulation Learning of Deformable Objects with Vision-based Tactile Sensor
Jianhua Shan, Yuhao Sun, Shixin Zhang +7
Deformable object manipulation is a classical and challenging research area in robotics. Compared with rigid object manipulation, this problem is more complex due to the deformatio…