Autonomous systems will play an essential role in many applications across diverse
domains including space, marine, air, field, road, and service robotics. They will assist us in …

We research and develop autonomous mobile service robots as Collaborative Robots, ie,
CoBots. For the last three years, our four CoBots have autonomously navigated in our multi …

Autonomous mobile robots navigate in our spaces by planning and executing routes to
destinations. When a mobile robot appears at a location, there is no clear way to understand …

Abstract Visual Query Localization on long-form egocentric videos requires spatio-temporal
search and localization of visually specified objects and is vital to build episodic memory …

Autonomous mobile robots deployed in outdoor environments must reason about different
types of terrain for both safety (eg, prefer dirt over mud) and deployer preferences (eg, prefer …

A robot can accurately localize itself and navigate in an indoor environment based on
information about the operating environment, often called a world or a map. While typical …

We present a self-supervised learning approach for the semantic segmentation of lidar
frames. Our method is used to train a deep point cloud segmentation architecture without …

This letter presents an exploration method that allows mobile robots to build and maintain
spatio-temporal models of changing environments. The assumption of a perpetually …

On 18 November 2014, a team of four autonomous CoBot robots reached 1,000-km of
overall autonomous navigation, as a result of a 1,000-km challenge that the authors had set …

摘要真实世界中存在光照, 天气, 季节及场景结构等复杂环境因素, 这些因素的改变对移动机器人
基本行为和任务能力带来巨大挑战. 随着机器人与人工智能技术的不断发展 …