Beijing Zhongke Yicheng Technology Co., Ltd. has applied for a patent titled “A Method and System for Dynamic Obstacle Avoidance in Robots Based on Target Detection.” The patent application number is CN121477968A, and it was submitted on December 2025. According to the patent summary, this application introduces a method and system for dynamic obstacle avoidance in robots, which falls under the field of robotic movement control technology.
The system integrates deep sensors distributed across key areas of the target robot along with a main camera to create a distributed multimodal perception field network centered around the robot. Within this perception network, an improved target detection network is utilized to extract semantic information and perform coarse localization of obstacles. This process yields semantic labels and preliminary positioning results, allowing for the construction of a real-time dynamic grid map that includes both semantic and motion information.
Using this real-time dynamic grid map, the system predicts the motion states of obstacles, generating a rough trajectory over a predetermined time period. This rough trajectory is then fine-tuned to produce a final obstacle avoidance trajectory, significantly enhancing the real-time detection of obstacles and the reliability of the data. This ensures that the trajectory is tailored for effective avoidance of various obstacles.
According to data from Tianyancha, Beijing Zhongke Yicheng Technology Co., Ltd. was established in 2018 and is primarily engaged in technology promotion and application services, with a registered capital of 5 million RMB. The company holds one patent and has two administrative licenses.
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