Multi Robot Informative Path Planning From Regression With Sparse Gaussian Processes

May 16, 2026
Media Summary: The corresponding paper can be found here Companion video for IROS 2020 paper: Z Zhu, E Bıyık, D Sadigh, " Machine learning methods have been widely used in

Multi Robot Informative Path Planning From Regression With Sparse Gaussian Processes - Detailed Analysis & Overview

The corresponding paper can be found here Companion video for IROS 2020 paper: Z Zhu, E Bıyık, D Sadigh, " Machine learning methods have been widely used in ICRA 2018 Spotlight Video Interactive Session Thu AM Pod U.4 Authors: Dong, Jing; Mukadam, Mustafa; Boots, Byron; Dellaert, ... ICRA 2018 Spotlight Video Interactive Session Thu AM Pod S.1 Authors: Luo, Wenhao; Sycara, Katia Title: Adaptive Sampling ... Short presentation for the paper: A. Theurkauf, J. Kottinger, N. Ahmed, and M. Lahijanian, “Chance-Constrained

Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, and Songhwai Oh, "Leveraged Non-Stationary The video accompanies our ICRA 2019 paper. This article is submitted to IROS2021. we extend a famous motion Machine Learning Tutorial at Imperial College London: The machine learning consultancy: Join my email list to get educational and useful articles (and nothing else!)

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Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes
Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes
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Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes

Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes

"

Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes

Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes

The corresponding paper can be found here https://itskalvik.github.io/publications/IPP.

Multi-Agent Safe Planning with Gaussian Processes

Multi-Agent Safe Planning with Gaussian Processes

Companion video for IROS 2020 paper: Z Zhu, E Bıyık, D Sadigh, "

SOLAR-GP: Sparse Online Locally Adaptive Regression Using Gaussian Processes for Robot Learning

SOLAR-GP: Sparse Online Locally Adaptive Regression Using Gaussian Processes for Robot Learning

Machine learning methods have been widely used in

Sparse Gaussian Processes on Matrix Lie Groups: A Unified Framework for Optimizing Continuous-Time T

Sparse Gaussian Processes on Matrix Lie Groups: A Unified Framework for Optimizing Continuous-Time T

ICRA 2018 Spotlight Video Interactive Session Thu AM Pod U.4 Authors: Dong, Jing; Mukadam, Mustafa; Boots, Byron; Dellaert, ...

Gaussian Processes Incremental Inference for Mobile Robots Dynamic Planning

Gaussian Processes Incremental Inference for Mobile Robots Dynamic Planning

A supplementary video for the

Adaptive Sampling and Online Learning in Multi-Robot Sensor Coverage with Mixture of Gaussian Proces

Adaptive Sampling and Online Learning in Multi-Robot Sensor Coverage with Mixture of Gaussian Proces

ICRA 2018 Spotlight Video Interactive Session Thu AM Pod S.1 Authors: Luo, Wenhao; Sycara, Katia Title: Adaptive Sampling ...

Chance-Constrained Multi-Robot Motion Planning Under Gaussian Uncertainties

Chance-Constrained Multi-Robot Motion Planning Under Gaussian Uncertainties

Short presentation for the paper: A. Theurkauf, J. Kottinger, N. Ahmed, and M. Lahijanian, “Chance-Constrained

Leveraged Non-Stationary Gaussian Process Regression for Autonomous Robot Navigation

Leveraged Non-Stationary Gaussian Process Regression for Autonomous Robot Navigation

Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, and Songhwai Oh, "Leveraged Non-Stationary

Easy introduction to gaussian process regression (uncertainty models)

Easy introduction to gaussian process regression (uncertainty models)

Gaussian process regression

Multi-robot Informative Path Planning with Continuous Connectivity Constraints

Multi-robot Informative Path Planning with Continuous Connectivity Constraints

The video accompanies our ICRA 2019 paper.

Multi-Robot Gaussian Processes-Based Entropy-Driven Exploration

Multi-Robot Gaussian Processes-Based Entropy-Driven Exploration

Mobile

Continuous-time Gaussian Process Trajectory Generation for Multi-robot Formation

Continuous-time Gaussian Process Trajectory Generation for Multi-robot Formation

This article is submitted to IROS2021. we extend a famous motion

Gaussian Processes

Gaussian Processes

In this video, we explore

ML Tutorial: Gaussian Processes (Richard Turner)

ML Tutorial: Gaussian Processes (Richard Turner)

Machine Learning Tutorial at Imperial College London:

Gaussian Processes

Gaussian Processes

The machine learning consultancy: https://truetheta.io Join my email list to get educational and useful articles (and nothing else!)