Perception capability assumes significant importance for human–robot interaction. The
forthcoming industrial environments will require a high level of automation to be flexible and …

In recent years, a large number of manipulator robots have been deployed to replace or
assist humans in many repetitive and dangerous tasks. Yet, these robots have complex …

This paper presents a hybrid approach for path planning of multiple mobile robots in
continuous environments. For this purpose, first, an innovative Artificial Potential Field (APF) …

The paper presents multi-objective optimization technique for the exploration of unknown
space. Exploration refers to the building of an estimated finite map of the environment using …

With the emergence of Industry 4.0, high productivity is critically dependent on robot
manipulators. However, building an efficient and safe work environment with robot …

This paper presents a real-time motion planning and control design of a robotic arm for
human-robot collaborative safety. A novel collision-free motion planning method is proposed …

In medical and surgical scenarios, the trajectory planning of a collaborative robot arm is a
difficult problem. The artificial potential field (APF) algorithm is a classic method for robot …

Path planning is a crucial algorithmic approach for designing robot behaviors. Sampling-
based approaches, like rapidly exploring random trees (RRTs) or probabilistic roadmaps …

For robotic arms to operate in arbitrary environments, especially near people, it is critical to
certify the safety of their motion planning algorithms. However, there is often a trade-off …

In this article, we describe the development of a human-robot interaction concept for service
robots to assist elderly people in the home with physical tasks. Our approach is based on the …