activity
20212025
most citedPick the Right Co-Worker: Online Assessment of Cognitive Ergonomics in Human-Robot Collaborative Assembly

72 citations · 174 across the 12 of their papers we have counts for

collaborators

11 papers

cs.RO2024

A Personalizable Controller for the Walking Assistive omNi-Directional Exo-Robot (WANDER)

A. Fortuna, M. Lorenzini, M. Leonori +5

Preserving and encouraging mobility in the elderly and adults with chronic conditions is of paramount importance. However, existing walking aids are either inadequate to provide su…

cs.RO2024

A Combined Learning and Optimization Framework to Transfer Human Whole-body Loco-manipulation Skills to Mobile Manipulators

Jianzhuang Zhao, Francesco Tassi, Yanlong Huang +2

Humans' ability to smoothly switch between locomotion and manipulation is a remarkable feature of sensorimotor coordination. Leaning and replication of such human-like strategies c…

cs.CV2023

SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools

Luca Sestini, Benoit Rosa, Elena De Momi +2

Instance segmentation of surgical instruments is a long-standing research problem, crucial for the development of many applications for computer-assisted surgery. This problem is c…

cs.RO202368 cited

Autonomous Navigation for Robot-assisted Intraluminal and Endovascular Procedures: A Systematic Review

Ameya Pore, Zhen Li, Diego Dall'Alba +7

Increased demand for less invasive procedures has accelerated the adoption of Intraluminal Procedures (IP) and Endovascular Interventions (EI) performed through body lumens and ves…

cs.RO2023

Uncertainty-aware Self-supervised Learning for Cross-domain Technical Skill Assessment in Robot-assisted Surgery

Ziheng Wang, Andrea Mariani, Arianna Menciassi +2

Objective technical skill assessment is crucial for effective training of new surgeons in robot-assisted surgery. With advancements in surgical training programs in both physical a…

cs.CV20234 cited

Markerless 3D human pose tracking through multiple cameras and AI: Enabling high accuracy, robustness, and real-time performance

Luca Fortini, Mattia Leonori, Juan M. Gandarias +2

Tracking 3D human motion in real-time is crucial for numerous applications across many fields. Traditional approaches involve attaching artificial fiducial objects or sensors to th…