Mark Edmonds
Mark Edmonds
Cruise Automation | UCLA PhD
Verified email at - Homepage
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A tale of two explanations: Enhancing human trust by explaining robot behavior
M Edmonds, F Gao, H Liu, X Xie, S Qi, B Rothrock, Y Zhu, YN Wu, H Lu, ...
Science Robotics 4 (37), 2019
Feeling the force: Integrating force and pose for fluent discovery through imitation learning to open medicine bottles
M Edmonds, F Gao, X Xie, H Liu, S Qi, Y Zhu, B Rothrock, SC Zhu
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Y Zhu, T Gao, L Fan, S Huang, M Edmonds, H Liu, F Gao, C Zhang, S Qi, ...
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI) 42 (1), 27-45, 2020
A glove-based system for studying hand-object manipulation via joint pose and force sensing
H Liu, X Xie, M Millar, M Edmonds, F Gao, Y Zhu, VJ Santos, B Rothrock, ...
Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International …, 2017
Brain machine interface using Emotiv EPOC to control robai cyton robotic arm
D Prince, M Edmonds, A Sutter, M Cusumano, W Lu, V Asari
2015 National Aerospace and Electronics Conference (NAECON), 263-266, 2015
Theory-based causal transfer: Integrating instance-level induction and abstract-level structure learning
M Edmonds, X Ma, S Qi, Y Zhu, H Lu, SC Zhu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1283-1291, 2020
Interactively transferring cnn patterns for part localization
Q Zhang, R Cao, S Zhang, M Edmonds, YN Wu, SC Zhu
arXiv preprint arXiv:1708.01783, 2017
Decomposing human causal learning: bottom-up associative learning and top-down schema reasoning
M Edmonds, S Qi, Y Zhu, J Kubricht, SC Zhu, H Lu
Proceedings of the Annual Meeting of the Cognitive Science Society, 2019
Human Causal Transfer: Challenges for Deep Reinforcement Learning
M Edmonds, J Kubricht, C Summers, Y Zhu, B Rothrock, SC Zhu, H Lu
40th Annual Meeting of the Cognitive Science Society, 326-331, 2018
Unsupervised Learning of Hierarchical Models for Hand-Object Interactions
X Xie, H Liu, M Edmonds, F Gaol, S Qi, Y Zhu, B Rothrock, SC Zhu
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-9, 2018
Acre: Abstract causal reasoning beyond covariation
C Zhang, B Jia, M Edmonds, SC Zhu, Y Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Hardware Accelerated Semantic Declarative Memory Systems through CUDA and MapReduce
M Edmonds, T Atahary, S Douglass, T Taha
IEEE Transactions on Parallel and Distributed Systems 30 (3), 601-614, 2018
High performance declarative memory systems through MapReduce
M Edmonds, T Atahary, T Taha, SA Douglass
2015 IEEE/ACIS 16th International Conference on Software Engineering …, 2015
Actional-perceptual causality: concepts and inductive learning for ai and robotics
SB Ho, M Edmonds, SC Zhu
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 442-448, 2020
Learning How and Why: Causal Learning and Explanation from Physical, Interactive, and Communicative Environments
M Edmonds
University of California, Los Angeles, 2021
Supplementary Material for ACRE: Abstract Causal REasoning Beyond Covariation
C Zhang, B Jia, M Edmonds, SC Zhu, Y Zhu
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