Path planning is the most fundamental necessity for autonomous mobile robots.
Traditionally, the path planning problem was solved using analytical methods, but these …

In recent years, intelligent welding technology has emerged as a prominent focus within the
welding domain, amalgamating a diverse array of sophisticated technologies, including …

Road shoulders and slopes often appear in unstructured environments. They make 2.5 D
vehicle trajectory planning commonly seen in our daily life, which lies on a 2D manifold …

In this article, we propose a deep reinforcement learning (DRL) algorithm as well as a novel
tailored neural network architecture for mobile robots to learn navigation policies …

Abstract Unmanned Aerial Vehicles are a suitable solution to automate inspections on large
structures that require periodic monitoring once this process could be complex and highly …

Automatic lane-changing is a complex and common task for autonomous vehicle control. In
this study, a hierarchical decoupled path and velocity planning model for lane changing is …

In this paper, we propose a robust arbitrary-time path tracking control using reduced order
kinematic model for the unmanned ground vehicle. The proposed method consists of the …

In recent years, automated guided vehicles (AGV) are widely used to sort and transport
parcels in logistics warehouses. The deployment of AGVs can improve storage efficiency …

It requires terrain classification for unmanned Mars Rover to identify the safe areas. The
current deep learning-based semantic segmentation and object recognition suffer from a …

In this paper, we seek to develop a computational human to multi-robot system (MRS) trust
model to encode human intention into the MRS motion tasks in offroad environments. Our …