Eriksen - Home

Company Infomation

Tiansun Technology Co., Ltd.

Tiansun (Wuhan) Technology Co., Ltd. was established in 2021. It is a technology-innovative company with core technologies in the fields of deep learning, reinforcement learning, 3D vision, and robot servo control. The proportion of the company's R&D personnel is higher than 90%, and the proportion of master's and doctoral personnel is higher than 60%. The average age is about 30 years old. They graduated from well-known domestic and foreign universities, such as Peking University, Tokyo Institute of Technology, Zhejiang University, Huazhong University of Science and Technology, Wuhan University of Science and Technology, etc., and have many years of experience in vision and robot project development and implementation in the industry. The company has obtained 5 utility model patents, 8 software copyrights, 9 utility model patents, 15 software copyrights, and 2 invention patents.

Tiansun Technology has integrated its superior R&D strength to develop a robot application control system that integrates self-developed core algorithms. Based on this system, it can provide a series of products, equipment and solutions for industrial, medical and agricultural customers, including deep learning visual inspection machines that perform various tasks, smart pharmacy grasping systems, smart agricultural picking robots, and composite robot 2.5D vision systems. The system is highly adaptable and can be adapted to mainstream industrial robots, cameras, electric grippers, linear modules, PLCs, boards and other hardware. The system can be flexibly combined to meet the specific needs of customers. We take a collaborative approach. Our team works closely with customers to understand their needs and create solutions tailored to their specific requirements. We believe that by working together, we can create innovative solutions to drive business success and help customers achieve their goals.

Company Case

3D vision guides carton unpacking and palletizing

As labor costs rise, the demand for unmanned or less-manned handling is growing stronger. The target objects and requirements are diverse, such as boxes, soft bags, and various regular or irregular parts. The specific application scenarios are complex and diverse, which puts high demands on the adaptability and deployment convenience of the vision system.

Automatic palletizing and depalletizing solutions are now widely used in various industrial production and transportation distribution companies. They can replace a large number of manual labor and greatly improve work efficiency and production safety levels. They are currently widely used in automotive parts, construction machinery, food and beverages, home appliances, furniture, logistics and other industries. The growth is very fast and it is expected to be popularized in all production industries.

Fruit and vegetable picking robot

Agricultural modernization is a complex and arduous task involving many challenges. This includes improving agricultural production efficiency, reducing labor costs, improving crop quality, and increasing the supply of agricultural products. However, it is not easy to develop an efficient and reliable harvesting robot. First, since each cucumber has different shapes and sizes, its visual recognition and grasping technology must be highly flexible and accurate. Secondly, it is also a challenge to maintain stable operation under different environmental conditions (such as temperature, humidity, etc.). In addition, since each farm and each variety has specific needs, it is also a difficult problem to develop a universal robot suitable for various farms and fruit and vegetable varieties. This means that the robot needs to be customized to adapt to different growing environments and crop characteristics.

The fruit and vegetable picking robot is a highly coordinated automated system that integrates artificial intelligence and multi-sensor technology. It uses a deep learning-based visual algorithm to guide the robotic arm to complete identification, positioning, grasping, cutting, and placement tasks. It can solve the problem of selective harvesting of fruits and vegetables under natural conditions and is a landmark product of smart agriculture.

Fruit and vegetable picking robot training platform

The fruit and vegetable picking robot training platform consists of a robotic arm, an end effector and its supporting gas system and control system. The end effectors include pneumatic three-claws, electric three-claws, electric scissors, etc. The modular, open, lightweight human-machine collaborative robot makes robot teaching no longer boring. It has multifunctional and multi-combination end effectors that can adapt to a variety of different grasping objects.

The fruit and vegetable picking robot training platform is a training device that uses a six-degree-of-freedom robot as its core, organically combining mechanical, pneumatic, motion control and other technologies to achieve tasks such as grabbing and picking of various fruits and vegetables. The training system can program and debug the robot's motion trajectory, and achieve robot teaching, positioning, simulation, picking and other training.