Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

The motivation behind our work is to review and analyze the most relevant studies on deep
reinforcement learning-based object manipulation. Various studies are examined through a …

Inverse optimal control (IOC) is a powerful theory that addresses the inverse problems in
control systems, robotics, Machine Learning (ML) and optimization taking into account the …

This paper provides an overview of the current state‐of‐the‐art in selective harvesting robots
(SHRs) and their potential for addressing the challenges of global food production. SHRs …

In this paper, we present an overview of robotic peg-in-hole assembly and analyze two main
strategies: contact model-based and contact model-free strategies. More specifically, we first …

Human–robot collaboration in industrial applications is a challenging robotic task. Human
working together with the robot at a workplace to complete a task may create unpredicted …

The construction industry is seeking a robotic revolution to meet increasing demands for
productivity, quality, and safety. Typically, construction robots are usually pre-programmed …

Service robots are built and developed for various applications to support humans as
companion, caretaker, or domestic support. As the number of elderly people grows, service …

Multiple-segment flexible and soft robotic arms composed by ionic polymer--metal
composite (IPMC) flexible actuators exhibit compliance but suffer from the difficulty of path …

Improving the manipulation performance of surgical instruments is important for novice
surgeons, as it directly affects the safety and outcome of robot-assisted surgery. To reduce …