Exploring 'embodied intelligence', Tianchuang Robot promotes the implementation and application of large-scale models in the intelligent operation and maintenance industry

With the rapid advancement of industrial digital transformation and intelligent transformation, robots are gradually replacing traditional manual inspection and maintenance in daily work, ushering in a technological revolution centered on "embodied intelligence". As a leading domestic enterprise in the field of special mobile robots, Tianchuang Robotics continues to pay attention to cutting-edge AI technologies and explore the integrated application of "embodied intelligence" in industrial intelligent inspection and operation robots.。

Embodied intelligence "refers to the ability of intelligent systems or machines to interact and adapt in real time to the physical environment through perception, interaction, and adaptation. Tianchuang Robot integrates "embodied intelligence" technology into the application of industrial intelligent inspection and operation robots, focusing on improving the core capabilities of products in multimodal environment perception and continuous decision-making actions. That is, when the robot performs continuous tasks, it can achieve real-time perception and understanding of dynamic changes in the environment, and make autonomous judgments and execute actions based on this information.

In terms of hardware, by integrating robots equipped with multiple sensing devices such as dual light cameras and sensors into industry models, complex instructions are transformed into specific action plans, enabling real-time perception and understanding of environmental state changes without the need for additional data and training. In terms of software, Tianchuang Robot's self-developed T-RADE intelligent algorithm can analyze and process environmental information, and make intelligent decisions quickly. Finally, utilizing language models to better understand the needs and execution instructions of workers, enhancing human-computer interaction and autonomous execution capabilities.

Exploration of Unknown Environments Based on Navigation Intelligence

The inspection robot first uses a 3D navigation module combined with a "visual navigation large model" to autonomously draw maps in the scene, completing the perception of static environmental information in the scene.

Deep analysis of tasks based on semantic intelligence

The robot receives instructions from humans in natural language, such as: "Please move to point A to observe the working status of another robot (T9-W)." The inspection robot uses a "language big model" to perform semantic intelligent understanding of natural language to obtain key task information, and performs zero sample decomposition of task steps.

• Please move to point A "- path planning," language and visual big model "to analyze the target and fixed obstacles that need to be bypassed.
• Observe T9-W "- Visual object detection, find the position of T9-W at point A.
• Work status "- Visual perception of device status, combined with visual and infrared cameras to obtain object status information.

Path autonomous planning based on decision intelligence

Based on the autonomously drawn scene map, the position information of point A and the fixed obstacles that need to be bypassed are analyzed through the "Language Vision Large Model" to assist the robot in completing autonomous path planning and determining the optimal path to move to point A.

Dynamic correction based on feedback intelligent path

During the process of following a predetermined route, the robot dynamically perceives the appearance of abnormal obstacles such as personnel, and combines ultrasonic and visual fusion detection methods to quickly detect obstacles and determine their location information. Combined with the "visual navigation big model", it dynamically adjusts its motion path and actively bypasses temporary obstacles.

Visual perception state based on cognitive intelligence

After reaching the target position A, the robot autonomously rotates the gimbal and searches for and accurately identifies the target within the field of view based on the target object image and the "visual big model". Through visible and infrared cameras, it obtains key information about the charging light turning on and the charging interface heating up, and intelligently recognizes that the T9-W robot is carrying out charging operations.

Tianchuang Robotics, combined with embodied intelligence technology, endows industrial operation and maintenance inspection robots with more convenient, intelligent, and efficient applications. In the future, the company will deepen exploration and practical implementation in actual scenarios, and help promote the integration and innovative development of cutting-edge AI technologies.