Accurate path tracking and stability are the main challenges of lateral motion control in
mobile robots, especially under the situation with complex road conditions. The interaction …

The flexibility of gait and trajectory planning with heavy payload are the main challenges for
legged stable walking of hexapod robots in unstructured terrain, especially in time-varying …

When it comes to the accuracy of autonomous motion, it is necessary to consider object
detection and recognition, especially for the robot application of the complex environment …

When considering the accuracy of tracking control, physical interaction such as structural
uncertainties and external dynamics is the main challenge in actual engineering scenarios …

The constantly evolving human–machine interaction and advancement in sociotechnical
systems have made it essential to analyze vital human factors such as mental workload …

To make a trade-off between accuracy and inference speed in real-time applications on the
unmanned mobile platform, a novel neural network, named Parallel Dual Branch Network …

Understanding the surrounding environment is an essential part of intelligent autonomous
platform to complete autonomous driving or other autonomous tasks. Thereinto, scene …

Previous studies have shown that the motion intention recognition for lower limb prosthesis
mainly focused on the identification of performed gait. However, the bionic prosthesis needs …

This paper introduces a novel neural network model predictive controller based on
Archimedes optimization algorithm to control constrained nonlinear systems, namely robot …

A passive brain–computer interface (BCI) based upon functional near-infrared spectroscopy
(fNIRS) brain signals is used for earlier detection of human drowsiness during driving tasks …