32 citations · 159 across the 32 of their papers we have counts for
36 papers
Robot Learning on Discrete Surfaces: Theory and Applications
Matteo Dalle Vedove, Fares J. Abu-Dakka, Luigi Palopoli +2
All the objects composing our world are enclosed within surfaces. Yet, most robot learning and motion generation frameworks treat surfaces as constraints ignoring their intrinsic g…
Trajectory-Safe Orienteering for Human-Robot Shared Environments
Songqun Gao, Elena Basei, Marco Roveri +2
Orienteering problem (OP) has wide real-world applications and also great potential in human-robot collaboration. However, existing approaches struggle to simultaneously ensure saf…
Proactive Motion Planning for Human-Robot Cooperation
Elena Basei, Edoardo Lamon, Matteo Saveriano +2
This abstract addresses the incorporation of human motion prediction into proactive and dynamic human-aware motion planning, with the goal of enabling safe collaboration between hu…
Human Motion Prediction for Human-Robot Collaboration
Placido Falqueto, Elena Basei, Edoardo Lamon +4
This paper compares three human motion prediction methods - GMM-based clustering, TransFusion, and Graph-Mixer - evaluating their effectiveness in human-robot collaboration. These…
Learning to Solve Orienteering Problem with Time Windows and Variable Profits
Songqun Gao, Zanxi Ruan, Patrick Floor +3
The orienteering problem with time windows and variable profits (OPTWVP) is common in many real-world applications and involves continuous time variables. Current approaches fail t…
Autonomous Robotic Tissue Palpation and Abnormalities Characterisation via Ergodic Exploration
Luca Beber, Edoardo Lamon, Matteo Saveriano +2
We propose a novel autonomous robotic palpation framework for real-time elastic mapping during tissue exploration using a viscoelastic tissue model. The method combines force-based…
A Task-Driven, Planner-in-the-Loop Computational Design Framework for Modular Manipulators
Maolin Lei, Edoardo Romiti, Arturo Laurenzi +5
Modular manipulators composed of pre-manufactured and interchangeable modules offer high adaptability across diverse tasks. However, their deployment requires generating feasible m…
Force-Based Viscosity and Elasticity Measurements for Material Biomechanical Characterisation with a Collaborative Robotic Arm
Luca Beber, Edoardo Lamon, Giacomo Moretti +4
Diagnostic activities, such as ultrasound scans and palpation, are relatively low-cost. They play a crucial role in the early detection of health problems and in assessing their pr…
Learning Priors of Human Motion With Vision Transformers
Placido Falqueto, Alberto Sanfeliu, Luigi Palopoli +1
A clear understanding of where humans move in a scenario, their usual paths and speeds, and where they stop, is very important for different applications, such as mobility studies…
Surface Defect Identification using Bayesian Filtering on a 3D Mesh
Matteo Dalle Vedove, Matteo Bonetto, Edoardo Lamon +3
This paper presents a CAD-based approach for automated surface defect detection. We leverage the a-priori knowledge embedded in a CAD model and integrate it with point cloud data a…
Socially-Aware Opinion-Based Navigation with Oval Limit Cycles
Giulia d'Addato, Placido Falqueto, Luigi Palopoli +1
When humans move in a shared space, they choose navigation strategies that preserve their mutual safety. At the same time, each human seeks to minimise the number of modifications…
MeshDMP: Motion Planning on Discrete Manifolds using Dynamic Movement Primitives
Matteo Dalle Vedove, Fares J. Abu-Dakka, Luigi Palopoli +2
An open problem in industrial automation is to reliably perform tasks requiring in-contact movements with complex workpieces, as current solutions lack the ability to seamlessly ad…
Pseudo-Kinematic Trajectory Control and Planning of Tracked Vehicles
Michele Focchi, Daniele Fontanelli, Davide Stocco +2
Tracked vehicles distribute their weight continuously over a large surface area (the tracks). This distinctive feature makes them the preferred choice for vehicles required to trav…
An Anatomy-Aware Shared Control Approach for Assisted Teleoperation of Lung Ultrasound Examinations
Davide Nardi, Edoardo Lamon, Daniele Fontanelli +2
Although fully autonomous systems still face challenges due to patients' anatomical variability, teleoperated systems appear to be more practical in current healthcare settings. Th…
A Passivity-Based Variable Impedance Controller for Incremental Learning of Periodic Interactive Tasks
Matteo Dalle Vedove, Edoardo Lamon, Daniele Fontanelli +2
In intelligent manufacturing, robots are asked to dynamically adapt their behaviours without reducing productivity. Human teaching, where an operator physically interacts with the…
Joint torques prediction of a robotic arm using neural networks
Giulia d'Addato, Ruggero Carli, Eurico Pedrosa +3
Accurate dynamic models are crucial for many robotic applications. Traditional approaches to deriving these models are based on the application of Lagrangian or Newtonian mechanics…
Towards Robotised Palpation for Cancer Detection through Online Tissue Viscoelastic Characterisation with a Collaborative Robotic Arm
Luca Beber, Edoardo Lamon, Giacomo Moretti +3
This paper introduces a new method for estimating the penetration of the end effector and the parameters of a soft body using a collaborative robotic arm. This is possible using th…
ALPINE: a climbing robot for operations in mountain environments
Michele Focchi, Andrea Del Prete, Daniele Fontanelli +3
Mountain slopes are perfect examples of harsh environments in which humans are required to perform difficult and dangerous operations such as removing unstable boulders, dangerous…
Elasticity Measurements of Expanded Foams using a Collaborative Robotic Arm
Luca Beber, Edoardo Lamon, Luigi Palopoli +3
Medical applications of robots are increasingly popular to objectivise and speed up the execution of several types of diagnostic and therapeutic interventions. Particularly importa…
Humanising robot-assisted navigation
Placido Falqueto, Alessandro Antonucci, Luigi Palopoli +1
Robot-assisted navigation is a perfect example of a class of applications requiring flexible control approaches. When the human is reliable, the robot should concede space to their…
Efficient Reinforcement Learning for Jumping Monopods
Riccardo Bussola, Michele Focchi, Andrea Del Prete +2
In this work, we consider the complex control problem of making a monopod reach a target with a jump. The monopod can jump in any direction and the terrain underneath its foot can…
A Passive Variable Impedance Control Strategy with Viscoelastic Parameters Estimation of Soft Tissues for Safe Ultrasonography
Luca Beber, Edoardo Lamon, Davide Nardi +3
In the context of telehealth, robotic approaches have proven a valuable solution to in-person visits in remote areas, with decreased costs for patients and infection risks. In part…
UVIO: An UWB-Aided Visual-Inertial Odometry Framework with Bias-Compensated Anchors Initialization
Giulio Delama, Farhad Shamsfakhr, Stephan Weiss +2
This paper introduces UVIO, a multi-sensor framework that leverages Ultra Wide Band (UWB) technology and Visual-Inertial Odometry (VIO) to provide robust and low-drift localization…
Verifying a stochastic model for the spread of a SARS-CoV-2-like infection: opportunities and limitations
Marco Roveri, Franc Ivankovic, Luigi Palopoli +1
There is a growing interest in modeling and analyzing the spread of diseases like the SARS-CoV-2 infection using stochastic models. These models are typically analyzed quantitative…