14 citations · 19 across the 9 of their papers we have counts for
10 papers
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…
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…
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…
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…
Bayesian Sensor Placement for Multi-source Localization of Pathogens in Wastewater Networks
Kalvik Jakkala, Srinivas Akella
Wastewater monitoring is an effective approach for the early detection of viral and bacterial disease outbreaks. It has recently been used to identify the presence of individuals i…
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…
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…
GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition
Ekkasit Pinyoanuntapong, Ayman Ali, Kalvik Jakkala +5
mmWave radar-based gait recognition is a novel user identification method that captures human gait biometrics from mmWave radar return signals. This technology offers privacy prote…
Deep Gaussian Processes: A Survey
Kalvik Jakkala
Gaussian processes are one of the dominant approaches in Bayesian learning. Although the approach has been applied to numerous problems with great success, it has a few fundamental…
Deep CSI Learning for Gait Biometric Sensing and Recognition
Kalvik Jakkala, Arupjyoti Bhuya, Zhi Sun +2
Gait is a person's natural walking style and a complex biological process that is unique to each person. Recently, the channel state information (CSI) of WiFi devices have been exp…