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Kyle Crandall
Kyle Crandall
Mechanical Engineer, US Naval Research Laboratory
Verified email at nrl.navy.mil
Title
Cited by
Cited by
Year
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
Lyapunov Guarantees for Learned Policies
K Crandall, C Yates, C Wilhelmi
The Sixteenth Workshop on Adaptive and Learning Agents, 2024
2024
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
Classification of EEG Signals Between Walking and Non-Walking States
M Beall, K Crandall, B Hejrati, D Scher
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Articles 1–14