activity
20192026
most citedDeep Gaussian Processes: A Survey

14 citations · 19 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.RO2026

AMP2026: A Multi-Platform Marine Robotics Dataset for Tracking and Mapping

Edwin Meriaux, Shuo Wen, David Widhalm +11

Marine environments present significant challenges for perception and autonomy due to dynamic surfaces, limited visibility, and complex interactions between aerial, surface, and su…

cs.RO2026★ 1 cited

Low-Cost Underwater In-Pipe Centering and Inspection Using a Minimal-Sensing Robot

Kalvik Jakkala, Jason O'Kane

Autonomous underwater inspection of submerged pipelines is challenging due to confined geometries, turbidity, and the scarcity of reliable localization cues. This paper presents a…

cs.RO2026

Schur-MI: Fast Mutual Information for Robotic Information Gathering

Kalvik Jakkala, Jason O'Kane, Srinivas Akella

Mutual information (MI) is a principled and widely used objective for robotic information gathering (RIG), providing strong theoretical guarantees for sensor placement (SP) and inf…

cs.RO2026

Informative Path Planning with Guaranteed Estimation Uncertainty

Kalvik Jakkala, Saurav Agarwal, Jason O'Kane +1

Environmental monitoring robots often need to estimate data fields (e.g., salinity, temperature, bathymetry) under tight resource constraints. Classical boustrophedon lawnmower sur…

cs.RO2023

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

Kalvik Jakkala, Srinivas Akella

This paper addresses multi-robot informative path planning (IPP) for environmental monitoring. The problem involves determining informative regions in the environment that should b…

cs.RO2023★ 1 cited

Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces

Kalvik Jakkala, Srinivas Akella

The sensor placement problem is a common problem that arises when monitoring correlated phenomena, such as temperature, precipitation, and salinity. Existing approaches to this pro…