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Harshal Maske
Harshal Maske
Research Engineer
Verified email at ford.com
Title
Cited by
Cited by
Year
Blended shared control of a hydraulic excavator
M Allain, S Konduri, H Maske, PR Pagilla, G Chowdhary
IFAC-papersonline 50 (1), 14928-14933, 2017
222017
Kernel observers: Systems-theoretic modeling and inference of spatiotemporally evolving processes
HA Kingravi, HR Maske, G Chowdhary
Advances in neural information processing systems 29, 2016
202016
Intent aware shared control in off-nominal situations
H Maske, G Chowdhary, P Pagilla
2016 IEEE 55th Conference on Decision and Control (CDC), 5171-5176, 2016
172016
Task learning, intent prediction, and adaptive blended shared control with application to excavators
Z Jin, PR Pagilla, H Maske, G Chowdhary
IEEE Transactions on Control Systems Technology 29 (1), 18-28, 2020
162020
Learning task-based instructional policy for excavator-like robots
H Maske, E Kieson, G Chowdhary, C Abramson
2018 IEEE International Conference on Robotics and Automation (ICRA), 1962-1969, 2018
162018
Kernel controllers: A systems-theoretic approach for data-driven modeling and control of spatiotemporally evolving processes
HA Kingravi, H Maske, G Chowdhary
2015 54th IEEE Conference on Decision and Control (CDC), 7365-7370, 2015
162015
Methods for blended shared control of hydraulic excavators with learning and prediction
Z Jin, PR Pagilla, H Maske, G Chowdhary
2018 IEEE Conference on Decision and Control (CDC), 1973-1978, 2018
112018
Blended shared control with subgoal adjustment
Z Jin, PR Pagilla, H Maske, G Chowdhary
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
92018
Collaborative goal and policy learning from human operators of construction co-robots
H Maske, M Matthews, A Axelrod, H Mohamadipanah, G Chowdhary, ...
Neural Information Processing Systems (NIPS), 2014
82014
Control of traffic light timing using decentralized deep reinforcement learning
H Maske, T Chu, U Kalabić
IFAC-PapersOnLine 53 (2), 14936-14941, 2020
72020
Evolving gaussian processes and kernel observers for learning and control in spatiotemporally varying domains: With applications in agriculture, weather monitoring, and fluid …
JE Whitman, H Maske, HA Kingravi, G Chowdhary
IEEE Control Systems Magazine 41 (1), 30-69, 2021
62021
Large-scale traffic control using autonomous vehicles and decentralized deep reinforcement learning
H Maske, T Chu, U Kalabić
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3816-3821, 2019
62019
Sensor selection via observability analysis in feature space
H Maske, HA Kingravi, G Chowdhary
2018 Annual American Control Conference (ACC), 1058-1064, 2018
52018
Can co-robots learn to teach?
H Maske, E Kieson, G Chowdhary, C Abramson
arXiv preprint arXiv:1611.07490, 2016
42016
Teaching and learning using semantic labels
S Roy, H Maske, G Chowdhary, C Crick
Proceedings of the Companion of the 2017 ACM/IEEE International Conference …, 2017
22017
Attention-Based Control of Vehicular Traffic
U Kalabic, H Maske, T Chu
US Patent App. 16/659,933, 2021
12021
Learning, inference, and control for construction robots and spatiotemporal processes
H Maske
University of Illinois at Urbana-Champaign, 2018
12018
Modeling nonlinear dynamical fluid flows with evolving Gaussian process models
J Whitman, H Maske, G Chowdhary, H Kingravi, C Lu, B Jayaraman
Proc. NIPS Workshop Mach. Learn. Wild, 2016
12016
Likelihood Rate Based Estimation of Nonstationary Markov Models
H Maske, G Chowdhary
2018 IEEE Conference on Decision and Control (CDC), 4759-4766, 2018
2018
Spatiotemporal Modeling using Linear Dynamical System in Feature Space
H Kingravi, H Maske, G Chowdhary
2018
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