50 citations · 83 across the 15 of their papers we have counts for
19 papers
A Biologically-Inspired Computational Model of Time Perception
Inês Lourenço, Robert Mattila, Rodrigo Ventura +1
Time perception - how humans and animals perceive the passage of time - forms the basis for important cognitive skills such as decision-making, planning, and communication. In this…
Coronal Heating Rate in the Slow Solar Wind
Daniele Telloni, Marco Romoli, Marco Velli +59
This Letter reports the first observational estimate of the heating rate in the slowly expanding solar corona. The analysis exploits the simultaneous remote and local observations…
Symplectic Momentum Neural Networks -- Using Discrete Variational Mechanics as a prior in Deep Learning
Saul Santos, Monica Ekal, Rodrigo Ventura
With deep learning gaining attention from the research community for prediction and control of real physical systems, learning important representations is becoming now more than e…
On the evolution of a sub-C class flare: a showcase for the capabilities of the revamped Catania Solar Telescope
Paolo Romano, Salvo L. Guglielmino, Pierfrancesco Costa +9
Solar flares are occasionally responsible for severe Space Weather events, which can affect space-borne and ground-based infrastructures, endangering anthropic technological activi…
COSMIC: fast closed-form identification from large-scale data for LTV systems
Maria Carvalho, Claudia Soares, Pedro Lourenço +1
We introduce a closed-form method for identification of discrete-time linear time-variant systems from data, formulating the learning problem as a regularized least squares problem…
Effects of the chromospheric Lyα line profile shape on the determination of the solar wind HI outflow velocity using the Doppler dimming technique
G. E. Capuano, S. Dolei, D. Spadaro +15
The determination of solar wind outflow velocity is fundamental in order to probe the mechanisms of wind acceleration in the corona. We aim to study, via the Doppler dimming techni…
First light observations of the solar wind in the outer corona with the Metis coronagraph
M. Romoli, E. Antonucci, V. Andretta +65
The investigation of the wind in the solar corona initiated with the observations of the resonantly scattered UV emission of the coronal plasma obtained with UVCS-SOHO, designed to…
Conjunction Data Messages behave as a Poisson Process
Francisco Caldas, Claudia Soares, Cláudia Nunes +3
Space debris is a major problem in space exploration. International bodies continuously monitor a large database of orbiting objects and emit warnings in the form of conjunction da…
Safe and Uncertainty-Aware Robotic Motion Planning Techniques for Agile On-Orbit Assembly
Bryce Doerr, Keenan Albee, Monica Ekal +2
As access to space and robotic autonomy capabilities move forward, there is simultaneously a growing interest in deploying large, complex space structures to provide new on-orbit c…
Human-Robot Collaboration in Microgravity: the Object Handover Problem
Adriana Fernandes, Rodrigo Ventura
Collaborative space robots are an emerging technology with high impact as robots facilitate servicing functions in collaboration with astronauts with higher precision during length…
Robust Plan Execution with Unexpected Observations
Oscar Lima, Michael Cashmore, Daniele Magazzeni +2
In order to ensure the robust actuation of a plan, execution must be adaptable to unexpected situations in the world and to exogenous events. This is critical in domains in which c…
Combining Parameter Identification and Trajectory Optimization: Real-time Planning for Information Gain
Keenan Albee, Monica Ekal, Rodrigo Ventura +1
Robotic systems often operate with uncertainties in their dynamics, for example, unknown inertial properties. Broadly, there are two approaches for controlling uncertain systems: d…
Nonlinear Model Predictive Control for 3D Formation of Multirotor Micro Aerial Vehicles with Relative Sensing in Local Coordinates
I. Kagan Erunsal, Rodrigo Ventura, Alcherio Martinoli
The complex tasks such as surveillance, construction, search and rescue can benefit of the maneuverability of multirotor Micro Aerial Vehicles (MAVs) to obtain robust, cooperative…
A deep learning approach for understanding natural language commands for mobile service robots
Pedro Henrique Martins, Luís Custódio, Rodrigo Ventura
Using natural language to give instructions to robots is challenging, since natural language understanding is still largely an open problem. In this paper we address this problem b…
An Energy Balance Based Method for Parameter Identification of a Free-Flying Robot Grasping An Unknown Object
Monica Ekal, Rodrigo Ventura
The estimation of inertial parameters of a robotic system is crucial for better trajectory tracking performance, specially when model-based controllers are used for carrying out pr…
Space CoBot: modular design of an holonomic aerial robot for indoor microgravity environments
Pedro Roque, Rodrigo Ventura
This paper presents the design of a small aerial robot for inhabited microgravity environments, such as orbiting space stations (e.g., ISS). In particular, we target a fleet of rob…
Space CoBot: a collaborative aerial robot for indoor microgravity environments
Pedro Roque, Rodrigo Ventura
This paper presents a first contribution to the design of a small aerial robot for inhabited microgravity environments, such as orbiting space stations. In particular, we target a…
On the scalability and convergence of simultaneous parameter identification and synchronization of dynamical systems
Bruno Nery, Rodrigo Ventura
The synchronization of dynamical systems is a method that allows two systems to have identical state trajectories, appart from an error converging to zero. This method consists in…
Online Event Segmentation in Active Perception using Adaptive Strong Anticipation
Bruno Nery, Rodrigo Ventura
Most cognitive architectures rely on discrete representation, both in space (e.g., objects) and in time (e.g., events). However, a robot interaction with the world is inherently co…