3天搞定机械臂上的VLA完整部署：算法&项目实践

Core Viewpoint - The concept of "embodied intelligence" has been officially included in the 2025 government work report, highlighting its significance in current research by enterprises and educational institutions [1]. Group 1: Challenges in Implementation - Researchers and engineers face challenges when deploying algorithms from simulation environments to hardware, primarily due to insufficient engineering practice and a lack of thorough understanding of classic methods and imitation learning [2]. - These challenges hinder the effective integration of various methods, resulting in suboptimal deployment and performance of VLA algorithms on robotic arms, which obstructs the application of embodied intelligence in real-world scenarios [2]. Group 2: Training Program - Deep Blue Academy has partnered with notable figures and companies to launch an offline training camp focused on robotic arm operation and grasping, aimed at bridging the gap between simulation and real-world application [3]. - The training camp offers hands-on experience with real robotic arms and covers key technologies such as motion planning, visual feedback, imitation learning, and VLA, ensuring a comprehensive understanding of the "perception - decision - control" process [5]. Group 3: Course Highlights - The program emphasizes a full-stack technology loop, providing training from algorithms to hardware engineering capabilities [16]. - It features immersive project practice supported by the hardware platform of Songling Robotics, promoting deep integration of academia and industry resources [16]. - The course adopts a high-density small class format, ensuring intensive technical training and personalized guidance over three days [16]. Group 4: Target Audience - The training is designed for undergraduate and graduate students in robotics and automation-related fields, as well as R&D engineers in the field of robotic arms and embodied intelligence [18].