Sunny OIT Showcases at Apsara Conference with Insightful Presentation

From October 31 to November 2, 2023, the Apsara Conference was held in Hangzhou, featuring a 40,000 m² technology exhibition and over 500 hot-topic sessions. Sunny OIT was invited to participate in the "2nd China Robotics Apsara Summit." Focused on "Large Models: Empowering Robots with Extraordinary Intelligence," this summit gathered industry experts and academicians including Wang Xiaodong, Vice President of Alibaba Cloud Intelligence Group; Jianwei Zhang, Academy Member of the German National Academy of Science and Engineering (acatech) & Fellow of the Hamburg Academy of Sciences; and Dan Zhang, Fellow of the Canadian Academy of Engineering & Chair Professor at The Hong Kong Polytechnic University. Representatives from enterprises such as Sunny OIT, Unitree Robotics, ESTUN, and JAKA Robotics also attended.

In this era where robotics embraces large models—from automated production lines in smart factories to unmanned services in daily life, and from deep learning models processing massive data to 3D reconstruction in virtual reality—the integration of large model technology with vision technology provides tremendous momentum for enhancing robotic perception and cognitive capabilities. This synergy is leading robots to transcend cognitive boundaries and explore a more intelligent "world of vision."

On November 2, the "2nd China Robotics Apsara Summit" was grandly convened. As a leading provider of robotic vision system solutions, Sunny OIT was invited to join a high-level panel discussion. Luke Zhou, alongside renowned academicians and industry entrepreneurs, explored strategies for achieving human-robot collaboration using large models and other advanced technologies. He shared insights into the exploration and cutting-edge applications of "Large Models + Robotic Vision" technology in enhancing robotic perception.

Large Models + Vision: Empowering Robots with Extraordinary Intelligence

In October, leading domestic companies successively released their latest large model versions—from Tencent, iFlytek, Zhipu AI, and Baichuan to Alibaba's unveiling of Tongyi Qianwen 2.0 at the Apsara Conference. Major players showcased their strongest capabilities in a competitive display. It is evident that large model technologies, such as ChatGPT and Tongyi Qianwen, have become pivotal components driving global technological trends, both domestically and internationally.

Similarly, large models present new opportunities for the intelligent development of robotics. By integrating large models with vision technology, robots can better understand and process natural language instructions, significantly enhancing their perception and cognitive abilities. Drawing on extensive market experience and deep insight, Luke Zhou pointed out that large models are driving a tangible shift in the robotics industry. Manufacturers are no longer limited to recognizing single features; instead, they are expanding their focus to understand and interpret entire scenes holistically.

Within this broader context, the fusion of large model technology and vision technology offers significant opportunities and challenges for advancing robotic perception and cognition. Through pre-trained large models, robots can learn rich knowledge and patterns from massive datasets, enabling better adaptation to diverse environments and tasks. This enhanced learning capability allows robots to respond more flexibly to complex and changing demands across various scenarios. It is believed this progress will substantially elevate the entire robotics industry, creating smarter and more convenient lives for humans.

As a provider of robotic vision system solutions, Sunny OIT collaborates with numerous renowned domestic and international enterprises to continuously advance the implementation of more "Robotic Vision + AI + Large Model" application scenarios. Leveraging robust core technological innovation, R&D capabilities, and embedded development expertise, Sunny OIT continuously upgrades and refines its offerings—from products to scenarios, and from imaging algorithms to application algorithms. Moving forward, the company will persistently leverage its comprehensive capabilities spanning hardware and software to jointly drive innovation in robotic vision technology and empower more end applications for robots.