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iRoPro: An interactive Robot Programming Framework
In fact, teaching robots new actions from scratch that can be reused for previously unseen tasks remains a difficult challenge and is generally left up to robotics experts.
A Review on Learning Planning Action Models for Socio-Communicative HRI
AI techniques, such as machine learning, can be used to learn behavioral models (also known as symbolic action models in AI), intended to be reusable for AI planning, from the aforementioned multimodal traces.
A Framework for Robot Programming in Cobotic Environments: First user experiments
The increasing presence of robots in industries has not gone unnoticed.
Action Model Acquisition using LSTM
In the field of Automated Planning and Scheduling (APS), intelligent agents by virtue require an action model (blueprints of actions whose interleaved executions effectuates transitions of the system state) in order to plan and solve real world problems.
Learning Macro-actions for State-Space Planning
Planning has achieved significant progress in recent years.
