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 …

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 …

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

Deep reinforcement learning-based (DRL-based) path planning in the unknown
environment is studied under continuous action space. We extend the TD3 (twin-delayed …

Robotic manipulation of deformable linear objects (DLOs) has great potential for
applications in diverse fields such as agriculture or industry. However, a major challenge …

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 …

Fresh produce handling, particularly in final inspection and pack, is highly dependent on
dextrous human labour. As part of a relatively low-profit margin industry, rising wage costs …