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06/08/2020
From Demonstrations to Task-Space Specifications: Using Causal Analysis to Extract Rule Parameterization from Demonstrations
Learning models of user behaviour is an important problem that is broadl...
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02/04/2020
Learning robotic ultrasound scanning using probabilistic temporal ranking
This paper addresses a common class of problems where a robot learns to ...
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07/31/2019
Disentangled Relational Representations for Explaining and Learning from Demonstration
Learning from demonstration is an effective method for human users to in...
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07/18/2019
Composing Diverse Policies for Temporally Extended Tasks
Temporally extended and sequenced robot motion tasks are often character...
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07/15/2019
Vid2Param: Online system identification from video for robotics applications
Robots performing tasks in dynamic environments would benefit greatly fr...
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06/24/2019
DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL
Many realistic robotics tasks are best solved compositionally, through c...
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03/04/2019