Collaborative robots cooperate with humans to assist them in undertaking simple-to-
complex tasks in several fields, including industry, education, agriculture, healthcare …

Model Predictive Control (MPC) promises to endow robots with enough reactivity to perform
complex tasks in dynamic environments by frequently updating their motion plan based on …

The lack of computational power on mobile robots is a well-known challenge when it comes
to implementing a real-time MPC scheme to perform complex motions. Currently the best …

Human-robot handover is a fundamental yet challenging task in human-robot interaction
and collaboration. Recently, remarkable progressions have been made in human-to-robot …

The underwater environment poses a complex problem for developing control systems for
underwater manipulators. Modeling the system is a complicated and costly process due to …

The paper addresses the problem of using machine learning in practical robot applications,
like dynamic path planning with obstacle avoidance, so as to achieve the performance level …

A flexible operation of multiple robotic manipulators operating in a dynamic environment
requires online trajectory planning to ensure collision-free trajectories. In this work, we …

Path planning is an essential part of robot intelligence. In this paper, we summarize the
characteristics of path planning of industrial robots. And owing to the probabilistic …

The word teleoperation (which, in general, means “working at a distance”) is typically used
in robotics when a human operator commands a remote agent. A teleoperated robot is often …

The rapid advancement of robotics and artificial intelligence paves the way for collaborative
robotics to revolutionise industrial operations. Collaborative robotics can bring significant …