Robotics uses model predictive control (MPC) methods frequently because they ensure
viability and enable the computation of revised trajectories while the robot is in motion …

Cable-driven continuum robots (CDCRs) can flexibly travel through narrow space for
complex workspace tasks. However, it is challenging to design the trajectory tracking …

The distributed model predictive control (DMPC) strategy with particle swarm optimization
(PSO) is applied to solve the collision-free trajectory tracking problem for the mecanum …

Flexible robots have exhibited impressive features in working in congested environments
due to their compliance behavior and morphological structure. However, designing motion …

Nonholonomic wheeled mobile robots are considered to be multi-input multi-output systems
that are performed in varying environments. This work presents the trajectory tracking control …

This paper examines the side brush control technologies for a novelty semi-autonomous
road sweeper design. This study proposes a side brush structure and offers a brush control …

In recent years, research on continuum robots has advanced significantly to overcome the
limitations of rigid-link robots that particularly suffer when working in a confined environment …

Kinematic and Dynamic Modeling Based on Trajectory Tracking Control of Mobile Robot with
Mecanum Wheels title Title Author Issue Keywords Current Issue : Vol 16, No 1 (2025) Browse …

Recently, continuum robots have been given great importance in healthcare, rescue
missions, and many other industrial applications. Due to their lightweight and high flexibility …

This paper presents a novel method for modeling the shape of a continuum robot as a
Neural Configuration Euclidean Distance Function (N-CEDF). By learning separate distance …