277 citations · 381 across the 28 of their papers we have counts for
30 papers
Cooperative Risk-Aware Exploration in Heterogeneous Multi-Robot Systems Using Algorithmic Altruism
Brooks A. Butler, Jair Certório, João P. Hespanha +1
Multi-robot systems are well-positioned for exploration in hazardous environments, but effective deployment requires deciding not only where robots should gather information, but a…
Learning Transferable Friction Models and LuGre Identification Via Physics-Informed Neural Networks
Asutay Ozmen, João P. Hespanha, Katie Byl
Accurately modeling friction in robotics remains a core challenge, as robotics simulators like MuJoCo and PyBullet use simplified friction models or heuristics to balance computati…
Control-Oriented Identification for the Linear Quadratic Regulator: Technical Report
Sean Anderson, João Pedro Hespanha
Data-driven control benefits from rich datasets, but constructing such datasets becomes challenging when gathering data is limited. We consider an offline experiment design approac…
Optimal sampling schedules for and state-feedback control
Duarte J. Antunes, J. P. Hespanha
We consider a discrete-time linear system for which the control input is updated at every sampling time, but the state is measured at a slower rate. We allow the state to be sample…
An in-reachability based classification of invariant synchrony patterns in weighted coupled cell networks
Pedro M Sequeira, João P Hespanha, António P Aguiar
This paper presents an in-reachability based classification of invariant synchrony patterns in Coupled Cell Networks (CCNs). These patterns are encoded through partitions on the se…
Trajectories for the Optimal Collection of Information
Matthew R. Kirchner, David Grimsman, Joao P. Hespanha +1
We study a scenario where an aircraft has multiple heterogeneous sensors collecting measurements to track a target vehicle of unknown location. The measurements are sampled along t…