Zobrazeno 1 - 10
of 739
pro vyhledávání: '"Hedrick, J A"'
Autor:
Foroozani, N., Hobbs, C., Hung, C. C., Olson, S., Ashworth, D., Holland, E., Malloy, M., Kearney, P., O'Brien, B., Bunday, B., DiPaola, D., Advocate, W., Murray, T., Hansen, P., Novak, S., Bennett, S., Rodgers, M., Baker-O'Neal, B., Sapp, B., Barth, E., Hedrick, J., Goldblatt, R., Rao, S. S. Papa, Osborn, K. D.
Publikováno v:
Journal of Quantum Science and Technology, 2019
Qubit information processors are increasing in footprint but currently rely on e-beam lithography for patterning the required Josephson junctions (JJs). Advanced optical lithography is an alternative patterning method, and we report on the developmen
Externí odkaz:
http://arxiv.org/abs/1902.08501
This paper proposes a new adaptation methodology to find the control inputs for a class of nonlinear systems with time-varying bounded uncertainties. The proposed method does not require any prior knowledge of the uncertainties including their bounds
Externí odkaz:
http://arxiv.org/abs/1802.09689
Autor:
Fisac, Jaime F., Liu, Chang, Hamrick, Jessica B., Sastry, S. Shankar, Hedrick, J. Karl, Griffiths, Thomas L., Dragan, Anca D.
Publikováno v:
Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, and Anca D. Dragan. "Generating Plans that Predict Themselves". Workshop on Algorithmic Foundations of Robotics (WAFR), 2016
Collaboration requires coordination, and we coordinate by anticipating our teammates' future actions and adapting to their plan. In some cases, our teammates' actions early on can give us a clear idea of what the remainder of their plan is, i.e. what
Externí odkaz:
http://arxiv.org/abs/1802.05250
Autor:
Liu, Chang, Hamrick, Jessica B., Fisac, Jaime F., Dragan, Anca D., Hedrick, J. Karl, Sastry, S. Shankar, Griffiths, Thomas L.
Publikováno v:
C. Liu, J. Hamrick, J. Fisac, A. Dragan, J. K. Hedrick, S. Sastry, T. Griffiths. "Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration". Autonomous Agents and Multiagent Systems (AAMAS), 2016
The study of human-robot interaction is fundamental to the design and use of robotics in real-world applications. Robots will need to predict and adapt to the actions of human collaborators in order to achieve good performance and improve safety and
Externí odkaz:
http://arxiv.org/abs/1802.01780
Analog-to-digital conversion (ADC) and uncertainties in modeling the plant dynamics are the main sources of imprecisions in the design cycle of model-based controllers. These implementation and model uncertainties should be addressed in the early sta
Externí odkaz:
http://arxiv.org/abs/1706.02272
Sliding mode control (SMC) is a robust and computationally efficient solution for tracking control problems of highly nonlinear systems with a great deal of uncertainty. High frequency oscillations due to chattering phenomena and sensitivity to data
Externí odkaz:
http://arxiv.org/abs/1706.01951
Deep learning-based approaches have been widely used for training controllers for autonomous vehicles due to their powerful ability to approximate nonlinear functions or policies. However, the training process usually requires large labeled data sets
Externí odkaz:
http://arxiv.org/abs/1703.09744
Personalized driver models play a key role in the development of advanced driver assistance systems and automated driving systems. Traditionally, physical-based driver models with fixed structures usually lack the flexibility to describe the uncertai
Externí odkaz:
http://arxiv.org/abs/1703.03534
This paper presents a distributed model predictive control (DMPC) algorithm for heterogeneous vehicle platoons with unidirectional topologies and a priori unknown desired set point. The vehicles (or nodes) in a platoon are dynamically decoupled but c
Externí odkaz:
http://arxiv.org/abs/1603.03225
Publikováno v:
In IFAC Journal of Systems and Control 31 December 2017 2:12-17
