The autonomous driving of heavy-duty tracked vehicles (HTVs) is prone to significant
position and posture deviation at the end of walking part in trajectory tracking control, which …

To improve the poor adaptability of trajectory tracking controllers with fixed parameters, an
optimized adaptive dual-parameter trajectory tracking algorithm for unmanned tracked …

Due to the narrow roadway and poor working environment, underground mines pose a
threat to the safety of vehicle drivers. The realization of automatic driving of underground …

An adaptive trajectory tracking control algorithm based on the vehicle dynamics model and
model predictive control (MPC) is designed to improve the accuracy of trajectory tracking …

The proportion of mines using autonomous mining trucks is still very low at present. To
promote the development of intelligent mining, it is urgent to proceed with the drive-by-wire …

The symmetry principle has significant guiding value in vehicle dynamics modeling and
motion control. In complex driving scenarios, there are problems of low accuracy and large …

Hydrostatic tractor is an agent tool of artificial intelligence mechanical transmission system.
In order to improve the automatic control level of driving path in constant speed cruise of …

The autonomous vehicle is widely applied in various ground operations, in which motion
planning and tracking control are becoming the key technologies to achieve autonomous …

To solve the problem of multi-rotor UAV autonomous tracking dynamic ground targets in
obstacles environment, we used Markov decision process (MDP) to establish an …

In order to solve the problems of low production efficiency and frequent safety accidents in
mining areas, a driverless perception and control method for mining vehicles was proposed …