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PINNeik: Eikonal solution using physics-informed neural networks
The eikonal equation is utilized across a wide spectrum of science and engineering
disciplines. In seismology, it regulates seismic wave traveltimes needed for applications like …
disciplines. In seismology, it regulates seismic wave traveltimes needed for applications like …
Eikonal solution using physics-informed neural networks
Deep learning is fast emerging as a potential disruptive tool to tackle longstanding research
problems across science and engineering disciplines. Recent advances in the field of …
problems across science and engineering disciplines. Recent advances in the field of …
Optimal path planning and coverage control for multi-robot persistent coverage in environments with obstacles
Persistent coverage aims to maintain a certain coverage level over time in an environment
where such level deteriorates. This level can be associated to temperature, dust or sensor …
where such level deteriorates. This level can be associated to temperature, dust or sensor …
Lidar-based relative position estimation and tracking for multi-robot systems
Relative positioning systems play a vital role in current multi-robot systems. We present a
self-contained detection and tracking approach, where a robot estimates a distance (range) …
self-contained detection and tracking approach, where a robot estimates a distance (range) …
Graph-based distributed control for adaptive multi-robot patrolling through local formation transformation
Multi-robot cooperative navigation in real-world environments is essential in many
applications, including surveillance and search-and-rescue missions. State-of-the-art …
applications, including surveillance and search-and-rescue missions. State-of-the-art …
Solving the eikonal equation for compressional and shear waves in anisotropic media using peridynamic differential operator
Traveltimes of compressional (P) and shear (S) waves have proven essential in many
earthquake and exploration seismology applications. An accurate and efficient traveltime …
earthquake and exploration seismology applications. An accurate and efficient traveltime …
A robust localization system for multi-robot formations based on an extension of a Gaussian mixture probability hypothesis density filter
This paper presents a strategy for providing reliable state estimates that allow a group of
robots to realize a formation even when communication fails and the tracking data alone is …
robots to realize a formation even when communication fails and the tracking data alone is …
Adaptive risk-based replanning for human-aware multi-robot task allocation with local perception
In this letter, we propose an adaptive risk-based replanning strategy in the context of
multirobot task allocation for dealing with limitations of local perception and unpredicted …
multirobot task allocation for dealing with limitations of local perception and unpredicted …
Multi-robot coordination in dynamic environments shared with humans
This work addresses multi-robot coordination in social human-populated environments
using a market-based framework for solving the Multi-Robot Task Allocation (MRTA) …
using a market-based framework for solving the Multi-Robot Task Allocation (MRTA) …
Incorporating perception uncertainty in human-aware navigation: A comparative study
In this work, we present a novel approach to human-aware navigation by probabilistically
modelling the uncertainty of perception for a social robotic system and investigating its effect …
modelling the uncertainty of perception for a social robotic system and investigating its effect …