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Sampling-based Incremental Information Gathering with Applications to
  Robotic Exploration and Environmental Monitoring
v1v2v3v4v5 (latest)

Sampling-based Incremental Information Gathering with Applications to Robotic Exploration and Environmental Monitoring

7 July 2016
Maani Ghaffari Jadidi
Jaime Valls Miro
G. Dissanayake
ArXiv (abs)PDFHTML

Papers citing "Sampling-based Incremental Information Gathering with Applications to Robotic Exploration and Environmental Monitoring"

27 / 27 papers shown
Biasing Frontier-Based Exploration with Saliency Areas
Biasing Frontier-Based Exploration with Saliency AreasEuropean Conference on Mobile Robots (ECMR), 2025
Matteo Luperto
Valerii Stakanov
Giacomo Boracchi
Nicola Basilico
Francesco Amigoni
206
0
0
14 Aug 2025
Efficient Online Learning and Adaptive Planning for Robotic Information Gathering Based on Streaming Data
Efficient Online Learning and Adaptive Planning for Robotic Information Gathering Based on Streaming DataEuropean Conference on Mobile Robots (ECMR), 2025
Sanjeev Ramkumar Sudha
Joel Jose
Erlend M. Coates
194
0
0
17 Jul 2025
Efficient Non-Myopic Layered Bayesian Optimization For Large-Scale
  Bathymetric Informative Path Planning
Efficient Non-Myopic Layered Bayesian Optimization For Large-Scale Bathymetric Informative Path PlanningIEEE International Conference on Robotics and Automation (ICRA), 2024
Alexander Kiessling
Ignacio Torroba
Chelsea Sidrane
Ivan Stenius
Jana Tumova
John Folkesson
213
2
0
21 Oct 2024
Informative path planning for scalar dynamic reconstruction using
  coregionalized Gaussian processes and a spatiotemporal kernel
Informative path planning for scalar dynamic reconstruction using coregionalized Gaussian processes and a spatiotemporal kernelIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Lorenzo Booth
Stefano Carpin
250
5
0
13 Sep 2023
CARE: Confidence-rich Autonomous Robot Exploration using Bayesian Kernel
  Inference and Optimization
CARE: Confidence-rich Autonomous Robot Exploration using Bayesian Kernel Inference and OptimizationIEEE Robotics and Automation Letters (RA-L), 2023
Yang Xu
Ronghao Zheng
Senlin Zhang
Meiqin Liu
Shoudong Huang
209
7
0
11 Sep 2023
Not All Actions Are Created Equal: Bayesian Optimal Experimental Design
  for Safe and Optimal Nonlinear System Identification
Not All Actions Are Created Equal: Bayesian Optimal Experimental Design for Safe and Optimal Nonlinear System Identification
Parker Ewen
Gitesh Gunjal
Joey Wilson
Jinsun Liu
Challen Enninful Adu
Ram Vasudevan
224
0
0
03 Aug 2023
Convex Geometric Motion Planning on Lie Groups via Moment Relaxation
Convex Geometric Motion Planning on Lie Groups via Moment Relaxation
Sangli Teng
A. Jasour
Ram Vasudevan
Maani Ghaffari
381
17
0
23 May 2023
Multi-vehicle Dynamic Water Surface Monitoring
Multi-vehicle Dynamic Water Surface MonitoringIEEE Robotics and Automation Letters (RA-L), 2023
František Nekovář
J. Faigl
Martin Saska
253
8
0
23 Feb 2023
Bayesian Generalized Kernel Inference for Exploration of Autonomous
  Robots
Bayesian Generalized Kernel Inference for Exploration of Autonomous Robots
Yang Xu
Ronghao Zheng
Senlin Zhang
Meiqin Liu
244
1
0
02 Jan 2023
Energy-based Legged Robots Terrain Traversability Modeling via Deep
  Inverse Reinforcement Learning
Energy-based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement LearningIEEE Robotics and Automation Letters (RA-L), 2022
Lu Gan
J. Grizzle
Ryan Eustice
Maani Ghaffari
248
36
0
07 Jul 2022
AK: Attentive Kernel for Information Gathering
AK: Attentive Kernel for Information Gathering
Weizhe (Wesley) Chen
Roni Khardon
Lantao Liu
377
18
0
13 May 2022
Enough is Enough: Towards Autonomous Uncertainty-driven Stopping
  Criteria
Enough is Enough: Towards Autonomous Uncertainty-driven Stopping CriteriaIFAC-PapersOnLine (IFAC-PapersOnLine), 2022
Julio A. Placed
J. A. Castellanos
287
10
0
22 Apr 2022
Fully-probabilistic Terrain Modelling with Stochastic Variational
  Gaussian Process Maps
Fully-probabilistic Terrain Modelling with Stochastic Variational Gaussian Process Maps
Ignacio Torroba
Christopher Iliffe Sprague
John Folkesson
243
3
0
21 Mar 2022
Confidence-rich Localization and Mapping based on Particle Filter for
  Robotic Exploration
Confidence-rich Localization and Mapping based on Particle Filter for Robotic ExplorationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Yang Xu
Ronghao Zheng
Senlin Zhang
Meiqin Liu
413
10
0
19 Feb 2022
Informative Planning in the Presence of Outliers
Informative Planning in the Presence of OutliersIEEE International Conference on Robotics and Automation (ICRA), 2021
Weizhe (Wesley) Chen
Lantao Liu
333
3
0
02 Nov 2021
Adaptive-Resolution Field Mapping Using Gaussian Process Fusion with
  Integral Kernels
Adaptive-Resolution Field Mapping Using Gaussian Process Fusion with Integral Kernels
Liren Jin
Julius Ruckin
Stefan H. Kiss
Teresa Vidal-Calleja
Marija Popović
252
13
0
29 Sep 2021
Feature Space Exploration For Planning Initial Benthic AUV Surveys
Feature Space Exploration For Planning Initial Benthic AUV SurveysField Robotics (FR), 2021
J. Shields
Oscar Pizarro
Stefan B. Williams
205
2
0
25 May 2021
Toward Safety-Aware Informative Motion Planning for Legged Robots
Toward Safety-Aware Informative Motion Planning for Legged Robots
Sangli Teng
Yukai Gong
J. Grizzle
Maani Ghaffari
205
42
0
26 Mar 2021
A Path-Dependent Variational Framework for Incremental Information
  Gathering
A Path-Dependent Variational Framework for Incremental Information Gathering
William Clark
M. G. Jadidi
101
0
0
26 Oct 2020
Asymptotically Optimal Sampling-Based Motion Planning Methods
Asymptotically Optimal Sampling-Based Motion Planning Methods
Jonathan Gammell
Marlin P. Strub
425
6
0
22 Sep 2020
Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping
Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic MappingIEEE Robotics and Automation Letters (RA-L), 2019
Lu Gan
Ray Zhang
J. Grizzle
Ryan Eustice
Maani Ghaffari
3DV
358
79
0
10 Sep 2019
Active Learning for UAV-based Semantic Mapping
Active Learning for UAV-based Semantic Mapping
Hermann Blum
Silvan Rohrbach
Marija Popović
Luca Bartolomei
Roland Siegwart
254
9
0
29 Aug 2019
Informative Path Planning for Active Field Mapping under Localization
  Uncertainty
Informative Path Planning for Active Field Mapping under Localization Uncertainty
Marija Popović
Teresa Vidal-Calleja
Jen Jen Chung
Juan I. Nieto
Roland Siegwart
170
36
0
25 Feb 2019
Kriging-Based Robotic Exploration for Soil Moisture Mapping Using a
  Cosmic-Ray Sensor
Kriging-Based Robotic Exploration for Soil Moisture Mapping Using a Cosmic-Ray Sensor
Jaime Pulido Fentanes
A. Badiee
T. Duckett
Jonathan G. Evans
Simon Pearson
Grzegorz Cielniak
165
32
0
13 Nov 2018
An informative path planning framework for UAV-based terrain monitoring
An informative path planning framework for UAV-based terrain monitoring
Marija Popović
Teresa Vidal-Calleja
Gregory Hitz
Jen Jen Chung
Inkyu Sa
Roland Siegwart
Juan I. Nieto
327
170
0
08 Sep 2018
Gaussian Processes Semantic Map Representation
Gaussian Processes Semantic Map Representation
M. G. Jadidi
Lu Gan
Steven A. Parkison
Jie Li
Ryan Eustice
246
28
0
05 Jul 2017
Gaussian Process Autonomous Mapping and Exploration for Range Sensing
  Mobile Robots
Gaussian Process Autonomous Mapping and Exploration for Range Sensing Mobile Robots
Maani Ghaffari Jadidi
Jaime Valls Miro
G. Dissanayake
GP
370
110
0
02 May 2016
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