In the face of the development of robotic technology, integration with cloud technologies is a
big opportunity to greatly improve robots. This chapter will synthetize the spirit which robotic …

In the near future, most of the industrial robots will serve as assistants involved in targeted
complex manufacturing tasks which are difficult to be automated. To achieve this, it is crucial …

Object recognition system plays a vital role in controlling the robotic arm for applications
such as picking and placing of objects. This paper is directed towards the development of …

Automated Guided Vehicles (AGV) are commonly used for tedious processes such as
materials transportation and sorting. However, the function of an AGV is quite limited without …

The Cloud has the potential to enhance a broad range of robotics and automation systems.
Cloud Robotics and Automation systems can be broadly defined as follows: Any robotic or …

This letter proposes a bionic robot controller equipped with intelligent perception and
autonomous planning modules to address the manufacturing industry's requirements for …

Collaboration between heterogeneous robots promises increased robustness and efficiency
of tasks with great potential in applications, such as manufacturing, search and rescue. In …

This paper presents a vision based robotic system to handle the picking problem involved in
automatic express package dispatching. By utilizing two RealSense RGB-D cameras and …

This paper focuses on a robotic picking tasks in cluttered scenario. Because of the diversity
of objects and clutter by placing, it is much difficult to recognize and estimate their pose …

Deep learning methods often require large annotated data sets to estimate their high
numbers of parameters, which is not practical for many robotic domains. One way to migitate …