1 citations · 1 across the 8 of their papers we have counts for
8 papers
Risk-Aware Belief Control Barrier Functions over Random Finite Sets
Shaohang Han, Gang Chen, Yixi Cai +5
Ensuring robot safety in unknown, dynamic environments is a fundamental requirement. It involves inferring the states of an unknown and time-varying number of moving objects from n…
Validation of Space Robotics in Underwater Environments via Disturbance Robustness Equivalency
Joris Verhagen, Elias Krantz, Chelsea Sidrane +9
We present an experimental validation framework for space robotics that leverages underwater environments to approximate microgravity dynamics. While neutral buoyancy conditions ma…
Marinarium: A Modular Experimental Facility for Reproducible Maritime and Space-Analog Field Robotics
Ignacio Torroba, David Dorner, Victor Nan Fernandez-Ayala +14
Field robotics research in maritime and space domains is constrained by a persistent gap between low-cost, low-fidelity simulation and costly offshore experimentation. Instrumented…
Side Scan Sonar-based SLAM for Autonomous Algae Farm Monitoring
Julian Valdez, Ignacio Torroba, John Folkesson +1
The transition of seaweed farming to an alternative food source on an industrial scale relies on automating its processes through smart farming, equivalent to land agriculture. Key…
SMaRCSim: Maritime Robotics Simulation Modules
Mart Kartašev, David Dörner, Özer Özkahraman +3
Developing new functionality for underwater robots and testing them in the real world is time-consuming and resource-intensive. Simulation environments allow for rapid testing befo…
Towards Open-Source and Modular Space Systems with ATMOS
Pedro Roque, Sujet Phodapol, Elias Krantz +11
In the near future, autonomous space systems will compose many of the deployed spacecraft. Their tasks will involve autonomous rendezvous and proximity operations with large struct…
Efficient Non-Myopic Layered Bayesian Optimization For Large-Scale Bathymetric Informative Path Planning
Alexander Kiessling, Ignacio Torroba, Chelsea Rose Sidrane +3
Informative path planning (IPP) applied to bathymetric mapping allows AUVs to focus on feature-rich areas to quickly reduce uncertainty and increase mapping efficiency. Existing me…
Adaptive Sampling of Algal Blooms Using Autonomous Underwater Vehicle and Satellite Imagery: Experimental Validation in the Baltic Sea
Joana Fonseca, Sriharsha Bhat, Matthew Lock +2
This paper investigates using satellite data to improve adaptive sampling missions, particularly for front tracking scenarios such as with algal blooms. Our proposed solution to fi…