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Decentralized Nested Gaussian Processes for Multi-Robot Systems
Autonomous Navigation, Mapping and Exploration with Gaussian Processes
Continuous-time Gaussian Process Trajectory Generation for Multi-robot Formation
Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes
Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes
Multi-Agent Safe Planning with Gaussian Processes
Gaussian Processes-based Control of Underactuated Balance Robots with Guaranteed Performance
Gaussian Process-based Visual Pursuit Control with Automatic Gain Tuning
Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories
Autonomous Navigation, Mapping and Exploration with Gaussian Processes
Multi-ouptut Infinite Horizon Gaussian Process
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Last Updated: October 1, 2026
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PDF: ipvs.informatik.uni-stuttgart.de/mlr/papers/19-driess-ICRA.pdf Danny Driess, Daniel Hennes, Marc Toussaint, "Active ... G. P. Kontoudis and D. J. Stilwell, "Decentralized Nested George P. Kontoudis, Daniel J. Stilwell, "Decentralized Nested roboticsconference.org/program/papers/104/ This article is submitted to IROS2021. we extend a famous motion planning approach known as GPMP2 to work with multiple ... The corresponding paper can be found here itskalvik.github.io/publications/IPP. Companion video for IROS 2020 paper: Z Zhu, E Bıyık, D Sadigh, " This research considers a scenario of pursuing a moving target that may switch behaviors due to external factors in a dynamic ... We propose a new framework that can simultaneously support navigation, mapping and 2021 IEEE International Conference on
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