The inclusion of physical information in machine learning frameworks has revolutionized
many application areas. This involves enhancing the learning process by incorporating …

This paper provides a solution to the problem of safe region formation control with reference
velocity tracking for a second-order multi-agent system without velocity measurements. Safe …

In recent years, formation control of unmanned vehicles has received considerable interest,
driven by the progress in autonomous systems and the imperative for multiple vehicles to …

An increasing number of Autonomous Mobile Robots (AMRs) are used in warehouses and
factories in recent years. The risk of some of the AMRs being out of control is surging …

Distributed model predictive control (DMPC) is promising in achieving optimal cooperative
control in multirobot systems (MRS). However, real-time DMPC implementation relies on …

The construction of lunar bases is a critical part of the in-depth implementation of lunar
exploration missions, which poses great challenges due to the complex environment of the …

This paper proposes a model-data-driven control method for a human-leading vehicle
platoon, comprising a human-driven vehicle (HDV) as the leader and connected automated …

Model Predictive Control (MPC)-based trajectory planning has been widely used in robotics,
and incorporating Control Barrier Function (CBF) constraints into MPC can greatly improve …

This paper proposes a path planning framework grounded in linear temporal logic (LTL),
designed to realize the multi-agent path planning in the lunar base construction task. To …

This paper proposed a learning predictive control method for wheeled mobile robots with
communication delays. In consideration of the property in the Networked Control System …