RI: Medium: Collaborative Research: Experience-Based Planning: A Framework for Lifelong Planning

机器人需要随着时间的推移改善它们的行为，同时产生一致的行为，以便让人类能够预测它们的行为，这对于建立对它们的行为的信任，甚至与它们合作是必要的。此外，许多任务都是重复的，比如打开抽屉。该项目开发了一种技术，通过将规划视为一个终身过程并利用人类环境的结构来提高效率，例如，抽屉通常以类似的方式打开。该研究合作正在开发一个基于经验图表的终身规划框架，旨在通过在解决类似规划任务时利用过去的经验，随着时间的推移提高规划的性能。这个概念是新颖的，因为经验被用来指导启发式搜索，而不是仅仅用于重播或改编。使这成为可能的想法是一个新颖的基于启发式搜索的框架，它可以利用先前的经验，并且仍然提供对完备性和路径质量的严格保证。该团队研究了如何在规划过程中有效地利用经验，规划应该如何收集经验，如何删除多余的经验，以及如何从示范中获得经验。应用包括日常家居任务和小批量制造任务。在这项合作研究中开发的软件正在集成到SBPL库中，SBPL库是ROS的核心库之一。该项目还纳入了教育活动以及有助于在机器人和人工智能领域的研究社区之间架起桥梁的活动，这两个社区尽管对自主系统有共同的兴趣。

Robots need to improve their behavior over time, yet produce consistent behavior in order to allow humans to predict their actions, which is necessary to develop trust in their behavior or even cooperate with them. Furthermore, many tasks repeat, such as opening drawers. This project develops technology that addresses these issues by viewing planning as a lifelong process and exploiting the structure of human environments for efficiency, for example that drawers typically open in similar ways.This research collaboration is developing a framework for lifelong planning based on experience graphs that aims to improve performance of planning over time by exploiting past experiences when solving similar planning tasks. The concept is novel because experiences are used to guide the heuristic search as opposed to be used for mere replay or adaptation. The idea that makes this possible is a novel heuristic search-based framework that can take advantage of prior experiences and still provide rigorous guarantees on completeness and path quality. The team studies how experiences can be utilized effectively during planning, how planning should gather experiences, how it should prune redundant experiences and how it can obtain experiences from demonstrations. Applications include everyday household tasks and low-volume manufacturing tasks. The software developed in this collaborative research is being integrated into the SBPL library, one of the core libraries in ROS. The project also incorporates educational activities as well as activities that help to bridge the research communities in robotics and artificial intelligence, two separate communities despite their common interest in autonomous systems.