In the field of robotics, soft robots have been showing great potential in the areas of medical
care, education, service, rescue, exploration, detection, and wearable devices due to their …

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 …

Artificial intelligence and mechanical engineering are two mature fields of science that
intersect more and more often. Computer-aided mechanical analysis tools, including …

This article develops an adaptive neural-network (NN) boundary control scheme for a
flexible manipulator subject to input constraints, model uncertainties, and external …

This paper investigates a novel hybrid gait obstacle-avoidance control strategy based on a
perception system for the six wheel-legged robot (BIT-6NAZA) in uneven terrain. This robot …

In this article, quadrotor unmanned aerial vehicles (QUAVs) are organized as a two-layer
structure, where the first layer is leader QUAVs and the second layer is follower QUAVs. In …

In this article, an improved adaptive neural network (NN) nonsingular terminal sliding mode
control (NTSMC) scheme is proposed for prescribed-performance trajectory tracking of …

Short-term water demand forecasting (StWDF) is the foundation stone in the derivation of an
optimal plan for controlling water supply systems. Deep learning (DL) approaches provide …

This article investigates the robust adaptive learning control for space robots with target
capturing. Based on the momentum conservation theory, the impact dynamics is constructed …

This brief proposes an adaptive neural network-based finite-time impedance control method
for constrained robotic manipulators with disturbance observer. Firstly, by combining barrier …