Northeastern University develops intelligent robots: staged "space separation"

The intelligent era is omnipotent, the drone is recording life, the self-driving car is on the road test, and the humanoid service robot is performing the "empty access".

Recently, under the guidance of Professor Lu Zhiguo of the School of Mechanical Engineering and Automation, Northeastern University Wang Shixiong, Wang Kai and Su Zhuo jointly developed a dual-arm wheeled humanoid service robot, which can replace people's affairs in time and space. The robot uses the network to realize the information interaction between the two spaces. The user uses the VR device to obtain the image information of the robot space, and based on this, makes corresponding judgments and actions, and the different space robot will follow the completion action.

At present, the robot market presents a state of “dumbbell type”. The high-end market has a high degree of intelligence, high input costs, and low product output, such as full-degree-of-freedom humanoid robots; low-end market inputs are low, output is high, but intelligence is relatively Single, such as sweeping robots. In response to the current market situation, Wang Shixiong led the team to choose from the mid-end market.

The team uses motion capture equipment to acquire human limb motion data, which is transmitted to the robot through the network and delivered to each joint of the robot to achieve synergistic effects between the robot and the operator on limb movement. A binocular camera is installed on the robot to collect the environmental information of the robot, and is transmitted to the VR device of the operator through the network to construct a stereoscopic scene, so that the operator has an immersive feeling, and it is convenient for the user to make a correct judgment based on the environmental information. . At the same time, the team also installed voice acquisition and playback devices at both ends of the robot and the operator. With the network transmission, real-time interaction of two spatial voices can be realized.

Compared with the existing wheeled robots in China, the innovation of this robot is that it realizes a large angle of leaning forward of 55°, which can complete the tasks of picking up and placing ground objects. Because the tilting motion is easy to cause the center of gravity of the robot to be unstable, the wheeled robot generally does not design a bending mechanism or only has a small angle of the leaning function, which limits the range of the hand movement of the robot. Based on this, the team innovatively designed the connecting rod slider leaning mechanism to achieve the linkage between the knee joint and the hip joint. When the hip moves backwards and downwards, the robot's center of gravity shifts to a smaller extent, ensuring the overall stability of the robot.

In terms of fuselage structure, Wang Shixiong team follows the design principle of lightweight and modularity, and adopts the method of plate and structural parts to better control the weight and cost of the robot. The robot is 1.5 meters in height and 35 kilograms in weight. The indicators are lower than the humanoid robots with the same volume and the same degree of freedom. More importantly, the manufacturing cost of the robot is controlled within 50,000 yuan, which is less than 50% of the robot price of the same level in the market.

Based on this innovative project, Wang Shixiong team has applied for 2 invention patents, 2 utility model patents, 1 design patent, and published 1 academic paper at the International Conference on Network Engineering and Information Security in 2018; The national "TRIZ" Cup College Students Innovation Method Competition invented the national second prize, the China Mobile Maker Marathon Competition Northeast Division first prize and other awards.

During the senior year of the research, the two members of the team, Wang Kai and Su Zhuo, were sent to Tsinghua University and Northwestern Polytechnical University to study for master's degree. Wang Shixiong chose to continue to follow Lu Zhiguo's research. “It’s really hard to meet such a teacher who personally accompanied us to do projects and do research.” Wang Shixiong cherished it.

Referring to the future plan of the project, Wang Shixiong hopes to further reduce the cost of the robot, so that this achievement can benefit the people and integrate into real life. “This robot can replace some people to do some difficult and high-risk work. I hope that through our research, the era of high-risk work by robots will come soon.”


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