Tissue injury is a collective term for various disorders associated with organs and tissues
induced by extrinsic or intrinsic factors, which significantly concerns human health. In vivo …

In recent years, neural networks have become a common practice in academia for handling
complex problems. Numerous studies have indicated that complex problems can generally …

As a classical and effective method for solving various time-varying problems, the zeroing
neural network (ZNN) is widely applied in the scientific and industrial realms. In plentiful …

This paper proposes a continuous-time enhanced variant of Beetle Antennae Search (BAS),
a metaheuristic algorithm that mimics the food searching nature of beetles. Beetles register …

In this brief, we presented a framework for the trajectory optimization of the 5-link Biped
Robot using the Beetle Antennae Search (BAS) algorithm. The biped robot is highly non …

Abstract A 1–0 Bg-RRT algorithm is proposed to reduce computational time and complexity,
even in complex environments. Different from Rapidly-exploring Random Tree (RRT) and …

In this paper, a fixed-time control method is proposed for an uncertain robotic system with
actuator saturation and constraints that occur a period of time after the system operation. A …

Aiming at the requirements for endoscope in minimally invasive surgery, a dual neural
network (DNN) controller is designed for a flexible endoscopic robot (FER) with 10 DOF …

This paper presents an accelerated gradient-based neural network (GNN) to achieve visual
servoing of a surgical endoscope robot. A KUKA LWR 4+ robot with seven joints is used to …

This brief addresses the distributed consensus problem of nonlinear multi-agent systems
under a general directed communication topology. Each agent is governed by higher-order …