Semi-supervised Learning From Demonstration Through Program Synthesis: An Inspection Robot Case Study

Author:

Smith Simón C.1,Ramamoorthy Subramanian1

Affiliation:

1. The University of Edinburgh

Publisher

Open Publishing Association

Reference72 articles.

1. Using generative models for semi-supervised learning;Adiwardana,2016

2. Trust and Cognitive Load During Human-Robot Interaction;Ahmad;arXiv preprint arXiv:1909.05160,2019

3. A survey of robot learning from demonstration;Argall;Robotics and autonomous systems,2009

4. Robot learning from demonstration;Atkeson,1997

5. A review of various semi-supervised learning models with a deep learning and memory approach;Bagherzadeh;Iran Journal of Computer Science,2019

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1. Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots;2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2021-09-27

2. Agents and Robots for Reliable Engineered Autonomy:A Perspective from the Organisers of AREA 2020;Journal of Sensor and Actuator Networks;2021-05-14

3. Self-Explainable Robots in Remote Environments;Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction;2021-03-08

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