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Data-driven Koopman Operators for Model-based Shared Control of Human-Machine Systems
We present a data-driven shared control algorithm that can be used to im...
06/12/2020 ∙ by Alexander Broad, et al. ∙
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Hybrid Control for Learning Motor Skills
We develop a hybrid control approach for robot learning based on combini...
06/05/2020 ∙ by Ian Abraham, et al. ∙
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Highly Parallelized Data-driven MPC for Minimal Intervention Shared Control
We present a shared control paradigm that improves a user's ability to o...
06/05/2019 ∙ by Alexander Broad, et al. ∙
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Operation and Imitation under Safety-Aware Shared Control
We describe a shared control methodology that can, without knowledge of ...
05/26/2019 ∙ by Alexander Broad, et al. ∙
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Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics
We present a novel approach to shared control of human-machine systems. ...
08/24/2018 ∙ by Alexander Broad, et al. ∙
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Structured Neural Network Dynamics for Model-based Control
We present a structured neural network architecture that is inspired by ...
08/03/2018 ∙ by Alexander Broad, et al. ∙
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Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop Objects
We present a novel object detection pipeline for localization and recogn...
03/14/2017 ∙ by Alexander Broad, et al. ∙
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