Intelligent new battlefield, intelligent mobile robot with social attributes
In this case, we need to make the robot have more storage space and more computing power, if it is only relying on their stand-alone body is actually very difficult to achieve.
This is the concept of "cloud robot", which is the use of robot-side computing and cloud computing for robotics research.
We know that robots that are studied using traditional methods use people in the environment as obstacles, which creates a problem: the overall system is inefficient to move, and is likely to fail even in crowded environments.
Therefore, a research team has proposed a new type of intelligent mobile robot that has the ability to learn pedestrian behavior patterns in an unknown environment, thus enhancing the intelligent understanding and intelligent decision-making ability of mobile robots. The team did three things: the first is the unknown environment, the domain is perceptible, the second is the semi-dense environment semantic map production, and the third is the simultaneous positioning and map update in the human-machine integration dynamic environment.
This system has two main contributions: Firstly, a robot-based regional mapping algorithm based on pedestrian behavior learning is proposed, which is called "Learning from Social Behaviors (LSB)". Secondly, it is adapted to the human-machine integration dynamic scene. The robot simultaneously locates and maps the method of construction (DM-LSAM). The focus of both is on how to strike a balance between dynamic environmental adaptability, positioning accuracy and robustness.
The global service robot market will reach $5.25 billion in 2018 and will grow rapidly to $15.69 billion in 2020. In 2018, the global market for home service robots, medical service robots, and public service robots is expected to be $4.48 billion, $2.54 billion, and $2.23 billion, respectively, with the home service robot market accounting for up to 48%. , respectively, 20, 24 percentage points higher than home service robots and public service robots.
In 2017, the number of financing in the robot industry exceeded 110 times, and the total financing scale exceeded 20 billion yuan. The number of financing in 2018 is expected to exceed 2017. From the perspective of subdivision, there are many investment and financing cases in the fields of personal/home robots, AGV, collaborative robots, machine vision, etc., and the scale is large.
Intelligent mobile robots will enter the 4.0 era, distribute the cloud brain in various places from the cloud to the end, and make full use of edge computing to provide more cost-effective services. In addition to the cognitive ability to achieve intelligent collaboration, intelligent mobile robots also have understanding and decision-making. The ability to achieve autonomous services.
Source of information: Ofweek Artificial Intelligence Network