2021 CORL CoRL 2021

Toward robots that learn to summarize their actions in natural language: a set of tasks

Abstract

Robots should be able to report in natural language what they have done. They should provide concise summaries, respond to questions about them, and be able to learn from the natural language responses they receive to their summaries. We propose that developing the capabilities for robots to summarize their actions is a new and necessary challenge which should be taken up by the robotic learning community. We propose an initial framework for robot action summarization, presented as a set of tasks which can serve as a target for research and a measure of progress.

🧭 Keyword Pioneer — action summarization
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio