activity
20162026
most citedGenerating Reliable and Efficient Predictions of Human Motion: A Promising Encounter between Physics and Neural Networks

32 citations · 159 across the 32 of their papers we have counts for

collaborators
Showing 2024 · cs.ROShow all

8 papers · 2 filters

cs.RO2024

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…

cs.RO2024★ 1 cited

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…

cs.RO2024

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…

cs.RO2024

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…

cs.RO2024★ 2 cited

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…

cs.RO2024

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…

cs.RO2024

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…

cs.RO2024

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…