Roni Khardon
Roni Khardon coauthored Attentive Kernel. The Attentive Kernel models spatial data whose variability changes between locations. It extends Gaussian-process kernels so uncertainty can guide a robot towards useful measurements. The team tested elevation mapping and used an autonomous surface vehicle to collect data in areas with high spatial variation. This connects probabilistic learning with decisions about where a robot should go next. Roni Khardon and the Attentive Kernel team received the RSS 2022 Best Student Paper Award.
- Works
- 146
- Citations
- 2,150
- h-index
- 23
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2022
A shared Attentive Kernel contribution
Roni Khardon coauthored Attentive Kernel. The Attentive Kernel models spatial data whose variability changes between locations. It extends Gaussian-process kernels so uncertainty can guide a robot towards useful measurements. The team tested elevation mapping and used an autonomous surface vehicle to collect data in areas with high spatial variation. This connects probabilistic learning with decisions about where a robot should go next.
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2022
Conference recognition
Roni Khardon and the Attentive Kernel team received the RSS 2022 Best Student Paper Award.
Sources and credits
Photo: homes.luddy.indiana.edu; Roni Khardon; creator not stated. License: Not stated by source. Source: homes.luddy.indiana.edu. Cropped to a square and resized. Ask us to remove or replace this photo.