Principal Investigator (PI)
PI Institution
Project
Testbed Used
Purpose of Project
ARROW Projects
Jonathan Bohren
Honeybee Robotics
Stochastic PLEXIL (SPLEXIL)
OceanWATERS
Extended PLEXIL with stochastic decision-making capabilities by employing reinforcement learning techniques.
Pooyan Jamshidi
University of South Carolina
Resource Adaptive Software Purpose-Built for Extraordinary Robotic Research Yields (RASPBERRY SI)
OceanWATERS & OWLAT
Developed software algorithms and tools for fault root cause identification, causal debugging, causal optimization, and causal-induced verification.
COLDTech Projects
Eric Dixon
Lockheed Martin
Causal And Reinforcement Learning (CARL) for COLDTech
OceanWATERS
Integrated a model of JPL’s mission-ready Cold Operable Lunar Deployable Arm (COLDarm) into OceanWATERS and applied image analysis, causal reasoning, and machine learning models to identify and mitigate the root causes of faults, such as ice buildup on the arm’s end effector.
Jay McMahon
University of Colorado
Robust Exploration with Autonomous Science On-board, Ranked Evaluation of Contingent Opportunities for Uninterrupted Remote Science Exploration (REASON-RECOURSE)
OceanWATERS
Applied automated planning with formal methods to maximize science return of the lander while minimizing communication with ground team on Earth.
Melkior Ornik
U Illinois, Urbana-Champaign
aDaptive, ResIlient Learning-enabLed oceAn World AutonomY (DRILLAWAY)
OceanWATERS & OWLAT
Developed autonomous adaptation to novel terrains and selecting scooping actions based on the available image data and limited experience by transferring the scooping procedure learned from a low-fidelity testbed to the high-fidelity OWLAT testbed.
Joel Burdick
Caltech
Robust, Explainable Autonomy for Scientific Icy Moon Operations (REASIMO)
OceanWATERS & OWLAT
Developed autonomous 1) detection and identification of off-nominal conditions and procedures for recovery from those conditions, and 2) sample site selection
