引用次数
引用: 33
H-指数: 3
I10-指数 : 1
出版物: 10
Using machine learning to reduce observational biases when detecting new impacts on Mars
Kiri L Wagstaff , Ingrid J Daubar , Gary Doran , Michael J Munje
Icarus 386 115146 -115146
4
2022
Towards a systems programming language designed for hierarchical state machines
Brian McClelland , Daniel Tellier , Meyer Millman , Kate Beatrix Go
2021 IEEE 8th International Conference on Space Mission Challenges for Information Technology (SMC-IT) 23 -30
7
2021
Towards the Hierarchical State Machine Oriented Proteus Systems Programming Language
Daniel Tellier , Meyer Millman , Brian McClelland , Kate Beatrix Go
AIAA 2020-4222 Session: Advances in Software for Space
1
2020
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning
Caleb Chuck , Carl Qi , Michael J Munje , Shuozhe Li
arXiv preprint arXiv:2405.03113
2024
Providing predictions of adversary movements in a gridworld environment to a human-machine team improves teaming performance
Jeffry A Coady , Paul Dysart , Aidan Schumann , Stephan A Koehler
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V 12538 159 -172
2023
Team3 challenge: Tasks for multi-human and multi-robot collaboration with voice and gestures
Michael J Munje , Lylybell K Teran , Bradon Thymes , Joseph P Salisbury
91 -96
2
2023
Reconfiguration of Connected Graph Partitions.
Hugo A Akitaya , Matthew D Jones , Matias Korman , Oliver Korten
arXiv: Discrete Mathematics
9
2019
LARGE-SCALE AUTOMATED DETECTION OF FRESH IMPACTS ON MARS USING MACHINE LEARNING WITH CTX OBSERVATIONS..
MJ Munje , IJ Daubar , G Doran , KL Wagstaff
LPI Contribution
2
2020
Reconfiguration of Connected Graph Partitions.
Hugo A Akitaya , Matthew D Jones , Matias Korman , Oliver Korten
arXiv: Discrete Mathematics
9
2019
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems
Rohan Paleja , Michael Munje , Kimberlee Chang , Reed Jensen
arXiv e-prints arXiv: 2406.05003 -arXiv: 2406.05003
2024