In this paper, wall-climbing robots with a single suction cup are studied. The robots mainly consist of three parts: A vacuum pump, a sealing mechanism and a driving mechanism. Basic conditions that the robots can adhere to and move reliably on a vertical surface are first established, then the sealing mechanism with an air spring and regulating springs is analyzed, and the synthetic rigidity formula for the sealing loop is obtained. Finally, two application examples are given: One for the ultrasonic inspection of cylindrical stainless steel nuclear storage tanks, and the other for cleaning high-rise buildings.

In performance tests, replacing humans with robotic drivers has many advantages, such as high efficiency and high security. To realize the vehicle speed tracking control with a robotic driver, this article proposes a novel deep reinforcement learning (DRL) approach based on deep deterministic policy gradient (DDPG). Specifically, the design of the approach includes state space, action space, reward function, and control algorithm. Then, to shorten the training time, the proposed approach utilizes the basic fundamental relationship between vehicle speed and pedal opening to intervene in network exploration. Furthermore, to solve speed fluctuations in low-speed sections, the replay buffer is optimized by adding weighted training samples. Experiments are conducted on fifteen cars, and results show that the proposed algorithm can effectively control the vehicle speed. Generally, it only needs three or four episodes of training to meet the requirements. Compared with the Segment-PID method, the proposed method has a smoother speed and fewer overbound times. Note to Practitioners —This article was motivated by the algorithm of deep reinforcement learning (DRL), which can be applied to automatic control including vehicle speed tracking control with a robotic driver. With the complexity, the delay of the vehicle model, and the dead zone of the pedal, it is difficult for existing classic control theories to achieve satisfactory vehicle speed tracking. This article analyzes the mathematical model based on the DRL theory and the vehicle dynamic model, then builds the speed tracking controller based on the deep deterministic policy gradient (DDPG) algorithm, and makes corresponding optimizations for the problems in the experiment. Through the control software integrated with the DDPG algorithm, the operator can easily realize the training and testing of the neural network, which greatly reduces the time and cost of vehicle testing and is of great significance to the emission certification of new vehicles.

Cooking themselves is very important and difficult for elderly and disabled people in daily life. This paper presents a cooking robot for those people who are confined to wheelchairs. The robot can automatically load ingredients, cook Chinese dishes, take cooked foods out, deliver dishes to the table, self-clean, collect used ingredient box components, and so on. Its structure and interface is designed based on the barrier-free design principles. Elderly and disabled people can only click one button in the friendly Graphic User Interface of a Personal Digital Assistant (PDA) to launch the cooking processes, and several classic Chinese dishes would be placed in front of them one after another within few minutes. Experiments show that the robot can meet their special needs, and the involved aid activities are easy and effective for elderly and disabled people.

SUMMARY: Up to now, most people are still cooking in the kitchen, which makes them feel fatigued and also makes the air polluted. With the development of the numerical control technology, it becomes more and more urgent to apply the related technology to the automatic cooking field. In this paper, the cooking technique for the Chinese dishes is introduced and China's first cooking robot, named AI Cooking Robot (AIC), is presented. The robot mainly consists of four parts: the wok mechanism, the stirring-fry and dispersing mechanism, the feeding mechanism, and the mechanism of leaving the material in the middle process. In order to adjust the temperature, the fire control system is also given in this paper. Experiments show that the new robot will be a milestone in the cooking automation science because of its cooking technique.

This paper presents a kind of mobile robot used for inspecting the cable tunnel online in the dangerous environment. Usually, the calble tunnel is full of poisonous gases after fire, such as CO, CH4, CO2 and so on. Then, the mobile robot is able to tell us whether the tunnel environment is safe or not. In this paper the architecture of the robot is designed at first to meet the motion requirement in the tunnel. These characteristics distinguish the mobile robot from others like compact structure, small size, little weight and easily being carried. Next, the moving mechanism and its kinematics are described. And thus, the operating procedure and experiments are introuduced to validate its reliablity.