The essence of the path planning problems is multi-modality constraint. However, most of
the current literature has not mentioned this issue. This paper introduces the research …

Rapidly random-exploring tree (RRT) and its variants are very popular due to their ability to
quickly and efficiently explore the state space. However, they suffer sensitivity to the initial …

With the development of modern sensor technology, the automatic movement of robot has
become a reality, and improving the path planning performance of robot in dynamic and …

In the Kalman filter (KF), the estimated state is a linear combination of the one-step
prediction and measurement. The two combination weights depend on the prediction mean …

Autonomousrobots are often employed for data collection due to their efficiency and low
labour costs. A key task in robotic data acquisition is planning paths through an initially …

Traditional approaches for active mapping focus on building geometric maps. For most real-
world applications, however, actionable information is related to semantically meaningful …

In this paper, we propose a semantic simultaneous localization and mapping (SLAM)
framework for rescue robots, and report its use in navigation tasks. Our framework can …

Visual localization is a fundamental capability in robotics and has been well studied for
recent decades. Although many state-of-the-art algorithms have been proposed, great …

In this article, we presents an effective semantic grounding scheme to long-term mobile
robots for dynamic object search in open/dynamic home environments. The challenge of this …

Unmanned surface vehicle (USV) is the future development direction of ships, but few
studies have focused on USV's energy optimization based on visual perception. An energy …