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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.RO2026

Optimal UGV-UAV Cooperative Partitioning and Inspection of Shortest Paths

Ninh Nguyen, Srinivas Akella

We study cooperative shortest path planning for an unmanned ground vehicle (UGV) assisted by an unmanned aerial vehicle (UAV) in environments with unknown road blockages that are o…

cs.RO2026

Dynamic UGV-UAV Cooperative Path Planning in Uncertain Environments

Ninh Nguyen, Srinivas Akella

This paper addresses the Dynamic UGV-UAV Cooperative Path Planning (DUCPP) problem involving one unmanned ground vehicle (UGV) assisted by one or more unmanned aerial vehicles (UAV…

cs.RO2024

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…

cs.RO2024

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…