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Kyle Crandall
Kyle Crandall
Mechanical Engineer, US Naval Research Laboratory
Adresse e-mail validée de nrl.navy.mil
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Kinesthetic force feedback and belt control for the treadport locomotion interface
B Hejrati, KL Crandall, JM Hollerbach, JJ Abbott
IEEE transactions on haptics 8 (2), 176-187, 2015
342015
Online parameter estimation via real-time replanning of continuous Gaussian POMDPs
DJ Webb, KL Crandall, J van den Berg
2014 IEEE International Conference on Robotics and Automation (ICRA), 5998-6005, 2014
192014
UAV fall detection from a dynamic perch using Instantaneous Centers of Rotation and inertial sensing
KL Crandall, MA Minor
2015 IEEE International Conference on Robotics and Automation (ICRA), 4675-4679, 2015
92015
Controlling parent systems through swarms using abstraction
KL Crandall, AM Wickenheiser
IEEE Transactions on Control of Network Systems 7 (1), 210-220, 2019
62019
Using abstraction for swarm control of a parent system
KL Crandall, C Whitehead, S Dong, A Wickenheiser
2016 IEEE International Conference on Robotics and Automation (ICRA), 5344-5349, 2016
32016
Distributed average consensus and abstract control
J Sorge, KL Crandall, C Yates, C Wilhelmi
2022 IEEE Conference on Control Technology and Applications (CCTA), 893-898, 2022
12022
Controlling a Parent System through the Abstraction of a Swarm Acting Upon It
KL Crandall
The George Washington University, 2019
12019
Learning abstraction of a swarm to control a parent system
KL Crandall, AM Wickenheiser, D Webb
2018 4th International Conference on Control, Automation and Robotics (ICCAR …, 2018
12018
Distributed Agent Consensus Performance in Resilient Communication Networks
JP Macker, JW Weston, K Crandall
MILCOM 2022-2022 IEEE Military Communications Conference (MILCOM), 799-804, 2022
2022
Consensus Driven Learning
K Crandall, D Webb
US Patent App. 17/347,150, 2021
2021
Consensus Driven Learning
K Crandall, D Webb
arXiv preprint arXiv:2005.10300, 2020
2020
Detecting slip in a vehicle perched on a dynamic perch
KL Crandall
The University of Utah, 2015
2015
Lyapunov Guarantees for Learned Policies
K Crandall, C Yates, C Wilhelmi
The Sixteenth Workshop on Adaptive and Learning Agents, 0
Classification of EEG Signals Between Walking and Non-Walking States
M Beall, K Crandall, B Hejrati, D Scher
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