20 citations · 24 across the 6 of their papers we have counts for
6 papers
Optimal Attitude Control of Large Flexible Space Structures with Distributed Momentum Actuators
Pedro Cachim, Will Kraus, Zachary Manchester +2
Recent spacecraft mission concepts propose larger payloads that have lighter, less rigid structures. For large lightweight structures, the natural frequencies of their vibration mo…
Pseudo-Haptics Survey: Human-Computer Interaction in Extended Reality & Teleoperation
Rui Xavier, José Luís Silva, Rodrigo Ventura +1
Pseudo-haptic techniques are becoming increasingly popular in human-computer interaction. They replicate haptic sensations by leveraging primarily visual feedback rather than mecha…
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…
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…
Online Information-Aware Motion Planning with Inertial Parameter Learning for Robotic Free-Flyers
Monica Ekal, Keenan Albee, Brian Coltin +3
Space free-flyers like the Astrobee robots currently operating aboard the International Space Station must operate with inherent system uncertainties. Parametric uncertainties like…
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…