In this review, the industry's current issues regarding intelligent manufacture are presented.
This work presents the status and the potential for the I4. 0 and I5. 0's revolutionary …

In precision agriculture, robotic arms exhibit significant technical advantages, such as
enhancing operational precision and efficiency, reducing labor costs, and supporting …

Tactile sensing is an essential capability for robots performing manipulation tasks. In this
paper, we introduce a framework to build a monocular visual-tactile sensor for robotic …

Collision-free trajectory planning in narrow spaces has become one of the most challenging
tasks in automated parking scenarios. Previous optimization-based approaches can …

In this paper, we present a novel formulation of traditional sampling-based motion planners
as database-oracle structures that can be solved via quantum search algorithms. We …

Learning from demonstration (LfD) enables robots to intuitively acquire new skills from
human demonstrations and incrementally evolve robotic intelligence. Given the significance …

The integration of human–robot collaboration yields substantial benefits, particularly in terms
of enhancing flexibility and efficiency within a range of mass-personalized manufacturing …

The atypical Markov decision processes (MDPs) are decision-making for maximizing the
immediate returns in only one state transition. Many complex dynamic problems can be …

Automated driving systems are often used for lane keeping tasks. By these systems, a local
path is planned ahead of the vehicle. However, these paths are often found unnatural by …

In this study, we present an innovative approach to robotic deburring path planning by
combining deep reinforcement learning (DRL) with an inverse Jacobian strategy. Existing …