3天搞定机械臂上的VLA完整部署：算法&项目实践（运动规划、视觉反馈、模仿学习等）

Core Insights - The concept of "embodied intelligence" has been incorporated into government work reports, leading to a rapid increase in related projects across various sectors, with companies competing for talent [1] - The demand for skilled professionals in the field of robotic arms is high, with a supply-demand ratio of 1:7, resulting in companies offering attractive compensation packages, including annual salaries exceeding one million and stock options [1] Group 1: Challenges in Implementation - Many researchers and engineers lack practical project experience, facing difficulties when deploying algorithms from simulation environments to actual hardware [3] - Two main reasons for these challenges include insufficient mastery of classic methods for robotic arm operation and inadequate engineering practice skills, hindering effective integration of various methods [3] Group 2: Training Initiatives - Deep Blue Academy has partnered with notable figures and companies to launch a hands-on training program focused on robotic arm operation and grasping techniques [5] - The program offers practical opportunities with real robotic arms and covers key technologies such as motion planning, visual feedback, and imitation learning [5][6] Group 3: Course Projects - Project 1 involves achieving 1:1 precise mapping between RViz models and real machines, integrating RRT* path planning and inverse kinematics algorithms to address robotic arm control and obstacle avoidance [6] - Project 2 focuses on combining machine vision with rule-based algorithms and reinforcement learning for precise identification and adaptive grasping of specific target objects [6] - Project 3 establishes a 1:1 remote operation data collection platform, utilizing visual language models for efficient transfer of human operational skills to robotic arms [6] Group 4: Instructor and Collaborating Entities - The instructor, Qin Tong, is a prominent figure in the field, with a background in robotics and experience in developing intelligent driving systems [8] - The collaborating company, Songling Robotics, is recognized as a leading global platform in robotic technology, contributing to the practical training initiatives [10][11]