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Learning a Spatial Field in Minimum Time with a Team of Robots

Learning a Spatial Field in Minimum Time with a Team of Robots

4 September 2019
Varun Suryan
Pratap Tokekar
ArXivPDFHTML

Papers citing "Learning a Spatial Field in Minimum Time with a Team of Robots"

4 / 4 papers shown
Title
Distributed Multi-robot Online Sampling with Budget Constraints
Distributed Multi-robot Online Sampling with Budget Constraints
Azin Shamshirgaran
Sandeep Manjanna
Stefano Carpin
35
0
0
26 Jul 2024
Multi-Robot Informative Path Planning from Regression with Sparse
  Gaussian Processes (with Appendix)
Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes (with Appendix)
Kalvik Jakkala
Srinivas Akella
32
8
0
13 Sep 2023
Approximation Algorithms for Robot Tours in Random Fields with
  Guaranteed Estimation Accuracy
Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy
Shamak Dutta
Nils Wilde
Pratap Tokekar
Stephen L. Smith
34
0
0
14 Oct 2022
Fully Decentralized, Scalable Gaussian Processes for Multi-Agent
  Federated Learning
Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning
George P. Kontoudis
D. Stilwell
FedML
21
8
0
06 Mar 2022
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