Abstract Human–Robot Collaboration (HRC) has a pivotal role in smart manufacturing for
strict requirements of human-centricity, sustainability, and resilience. However, existing HRC …

Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …

This paper develops an integrated safety-enhanced reinforcement learning (RL) and model
predictive control (MPC) framework for autonomous vehicles (AVs) to navigate unsignalized …

In actual welding scenarios, an effective path planner is needed to find a collision-free path
in the configuration space for the welding manipulator with obstacles around. However, as a …

In this paper, we propose a topology of Recurrent Neural Network (RNN) based on a
metaheuristic optimization algorithm for the tracking control of mobile-manipulator while …

This paper focuses on data fusion, which is fundamental to one of the most important
modules in any autonomous system: perception. Over the past decade, there has been a …

In this article, a virtual-goal-guided rapidly exploring random tree (RRT)-based visual
servoing approach is proposed for nonholonomic mobile robots to simultaneously satisfy the …

Recent advances in technology lead to the use of robotic systems as part of the modern
working environment. Single and multiple robotic systems work closely with humans to …

Real-time navigation in dense human environments is a challenging problem in robotics.
Most existing path planners fail to account for the dynamics of pedestrians because …

It is necessary for a mobile robot or even a multi-robot team to be able to efficiently plan a
path from its starting or current location to a desired goal location. This is a trivial task when …