In the face of large-scale environmental mapping requirements, through the use of
lightweight and inexpensive robot groups to perceive the environment, the multi-robot …

Ensuring safety in human–robot collaboration is one of the main challenges in mobile
robotics today. Semantic maps are a potential solution because they provide semantic …

同时定位与建图(Simultaneous localization and mapping, SLAM) 技术是复杂, 动态且GPS
失效环境下多机器人系统(Multi-robot system, MRS) 协同工作的基础和关键技术 …

We present DAVE Aquatic Virtual Environment (DAVE) 1, an open source simulation stack
for underwater robots, sensors, and environments. Conventional robotics simulators are not …

The collaborative operation of multiple robots can make up for the shortcomings of a single
robot, such as limited field of perception or sensor failure. multirobots collaborative semantic …

In recent years, our view of coastal ecosystems has expanded and come into greater focus.
We are currently making more types of observations over larger areas and at higher …

Visual topic modeling (VTM) provides key insight into data sets based on learned semantic
topic models. The Gaussian-Dirichlet Random Field (GDRF), a state-of-the-art VTM …

The simultaneous localization and mapping (SLAM) technology is the basis and key
technology for the collaborative work of multi-robot systems (MRS) in a complex, dynamic …

Phytoplankton communities in the open ocean are high‐dimensional, sparse, and
spatiotemporally heterogeneous. The advent of automated imaging systems has enabled …

This paper reports on a dynamic semantic mapping framework that incorporates 3D scene
flow measurements into a closed-form Bayesian inference model. Existence of dynamic …