Activity: Talk or presentation types › Oral presentation
For a more robust robot capable of adapting to the changing environment, the goal of this work is to bridge the gap between abstract plans and robot action execution. Our platform combines planning, reasoning and learning new success values incrementally based on experience. Refinement involves reasoning over action execution failure using anomaly detection techniques. This paper reports on the embedding of a theory refinement process within a real robot. Empirical testing and evaluation has been performed using the NAO robot in kitchen scenario.
16 Jun 2022
2022 Workshop on Planning and Robotics: An ICAPS'22 Workshop