In this article, we study the problem of multirobot active joint localization and target tracking (AJLATT),
where a team of robots mounted with sensors of limited field of view actively …

Simultaneous localization and mapping (SLAM) is a fundamental task for numerous applications
such as autonomous navigation and exploration. Despite many SLAM datasets have …

Simultaneous Localization and Mapping (SLAM) stands as one of the critical challenges in
robot navigation. A SLAM system often consists of a front-end component for motion …

Data-driven methods such as reinforcement and imitation learning have achieved remarkable
success in robot autonomy. However, their data-centric nature still hinders them from …

Autonomous racing control is a challenging research problem as vehicles are pushed to
their limits of handling to achieve an optimal lap time; therefore, vehicles exhibit highly …

In this thesis, we study the problem of multi-robot active joint localization and target tracking (AJLATT),
where a team of robots mounted with sensors of limited field of view actively …

In this paper, the problem of multi-robot active joint localization and target tracking (AJLATT)
is studied. Here a team of mobile robots equipped with sensors of limited field of view is …

In this paper, we investigate the problem of active joint localization and target tracking of
mobile robots with onboard sensors. Our primary objective is concurrent target tracking while …

PyPose is an open-source library for robot learning. It combines a learning-based approach
with physics-based optimization, which enables seamless end-to-end robot learning. It has …

Realizing ecosystem service value is the prerequisite of the integrated implementation of
regional ecosystem pattern. With the rapid development of China's economy, there are fewer …