In human-robot collaborative assembly, robots are often required to dynamically change
their pre-planned tasks to collaborate with human operators in a shared workspace …

To address the uncertainty of production environment in assembly job shop, in combination
of the real-time feature of reinforcement learning, a dual Q-learning (DQ) method is …

Human-robot collaboration (HRC) in the manufacturing context aims to realise a shared
workspace where humans can work side by side with robots in close proximity. In human …

Establishing safe human–robot collaboration is an essential factor for improving efficiency
and flexibility in today's manufacturing environment. Targeting safety in human–robot …

The digital twin-based manufacturing system is a typical representative of smart
manufacturing and has a number of advantages beyond the state of the art. However, when …

Remanufacturing is an effective way to realize the reutilization of resources. Disassembly, as
an essential step of remanufacturing, is usually finished by manual work which is low …

The increasing demand for flexibility and reconfigurability of assembly lines generates new
challenges for the control of these lines and their subsystems, such as robots, grippers …

In human–robot collaborative assembly, leveraging multimodal commands for intuitive robot
control remains a challenge from command translation to efficient collaborative operations …

Autonomous assembly is a crucial capability for robots in many applications. For this task,
several problems such as obstacle avoidance, motion planning, and actuator control have …

Robotic assembly plays a principal role in intelligent manufacturing and Industry 4.0. Well-
informed coordination between the robotic arms and the control modules is of paramount …