88 citations · 460 across the 30 of their papers we have counts for
9 papers · 1 filter
Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images
Jorge F. Lazo, Benoit Rosa, Michele Catellani +6
Objective: Accurate visual classification of bladder tissue during Trans-Urethral Resection of Bladder Tumor (TURBT) procedures is essential to improve early cancer diagnosis and t…
Impact-Friendly Object Catching at Non-Zero Velocity Based on Combined Optimization and Learning
Jianzhuang Zhao, Gustavo J. G. Lahr, Francesco Tassi +3
This paper proposes a combined optimization and learning method for impact-friendly, non-prehensile catching of objects at non-zero velocity. Through a constrained Quadratic Progra…
Learning-Based Keypoint Registration for Fetoscopic Mosaicking
Alessandro Casella, Sophia Bano, Francisco Vasconcelos +7
In Twin-to-Twin Transfusion Syndrome (TTTS), abnormal vascular anastomoses in the monochorionic placenta can produce uneven blood flow between the two fetuses. In the current pract…
Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing
Jorge F. Lazo, Chun-Feng Lai, Sara Moccia +7
Navigation inside luminal organs is an arduous task that requires non-intuitive coordination between the movement of the operator's hand and the information obtained from the endos…
Pick the Right Co-Worker: Online Assessment of Cognitive Ergonomics in Human-Robot Collaborative Assembly
Marta Lagomarsino, Marta Lorenzini, Pietro Balatti +2
Human-robot collaborative assembly systems enhance the efficiency and productivity of the workplace but may increase the workers' cognitive demand. This paper proposes an online an…
Robot Trajectory Adaptation to Optimise the Trade-off between Human Cognitive Ergonomics and Workplace Productivity in Collaborative Tasks
Marta Lagomarsino, Marta Lorenzini, Elena De Momi +1
In hybrid industrial environments, workers' comfort and positive perception of safety are essential requirements for successful acceptance and usage of collaborative robots. This p…
Sociable and Ergonomic Human-Robot Collaboration through Action Recognition and Augmented Hierarchical Quadratic Programming
Francesco Tassi, Francesco Iodice, Elena De Momi +1
The recognition of actions performed by humans and the anticipation of their intentions are important enablers to yield sociable and successful collaboration in human-robot teams.…
Open-VICO: An Open-Source Gazebo Toolkit for Vision-based Skeleton Tracking in Human-Robot Collaboration
Luca Fortini, Mattia Leonori, Juan M. Gandarias +2
Simulation tools are essential for robotics research, especially for those domains in which safety is crucial, such as Human-Robot Collaboration (HRC). However, it is challenging t…
A Hybrid Learning and Optimization Framework to Achieve Physically Interactive Tasks with Mobile Manipulators
Jianzhuang Zhao, Alberto Giammarino, Edoardo Lamon +3
This paper proposes a hybrid learning and optimization framework for mobile manipulators for complex and physically interactive tasks. The framework exploits an admittance-type phy…