C
Christopher Laporte
Researcher at California Institute of Technology
Publications - 3
Citations - 823
Christopher Laporte is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Anomaly detection & Key (cryptography). The author has an hindex of 3, co-authored 3 publications receiving 250 citations.
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Proceedings ArticleDOI
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
TL;DR: The effectiveness of Long Short-Term Memory networks, a type of Recurrent Neural Network, in overcoming issues using expert-labeled telemetry anomaly data from the Soil Moisture Active Passive (SMAP) satellite and the Mars Science Laboratory (MSL) rover, Curiosity is demonstrated.
Proceedings ArticleDOI
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
TL;DR: In this article, Long Short-Term Memory (LSTM) networks, a type of Recurrent Neural Network (RNN), were used for anomaly detection in telemetry anomaly data from the Soil Moisture Active Passive (SMAP) satellite and the Mars Science Laboratory (MSL) rover, Curiosity.
Proceedings ArticleDOI
MAARS: Machine learning-based Analytics for Automated Rover Systems
Masahiro Ono,Brandon Rothrock,Kyohei Otsu,Shoya Higa,Yumi Iwashita,Annie Didier,Tanvir Islam,Christopher Laporte,Vivian Z. Sun,Kathryn M. Stack,Jacek Sawoniewicz,Shreyansh Daftry,Virisha Timmaraju,Sami Sahnoune,Chris A. Mattmann,Olivier Lamarre,Sourish Ghosh,Dicong Qiu,Shunichiro Nomura,Hiya Roy,Hemanth Sarabu,Gabrielle Hedrick,Larkin Folsom,Sean Suehr,Hyoshin Park +24 more
TL;DR: This paper is to provide the latest snapshot of the project with broad and high-level description of every capability that the project is developing, including scientific scene interpretation, vision-based traversability assessment, resource-aware path planning, information-theoretic path planner, and on-board strategic path planning.