Currently, CurveRobot is focusing its efforts on the window and door painting industry, serving two to three key clients as an integrator, providing complete solutions including depth cameras, controllers, and robotic arms. In 2013, China surpassed Japan to become the world's largest industrial robot market. Beyond industrial robots, robotics in other fields is also rapidly developing. Last April, IDC predicted that by 2020, China's robotics market would double in size, reaching a total value of $59.4 billion. High-end robotics manufacturing is primarily dominated by foreign companies, with four major companies accounting for over 50% of the domestic robot market. The competitive landscape in the robotics market remains difficult to shake. To achieve import substitution, domestically produced robots must not only improve performance (including accuracy, speed, and rigidity) and reduce costs, but also innovate and differentiate themselves technologically. 3D vision technology, which enables robots to see the world, is widely considered a core technology for the next generation of intelligent robots. Qian Xin, CEO of CurveRobot, believes that the existing and incremental robotics market is enormous, and traditional robot manufacturers are not as responsive as startups. Furthermore, the research and development of vision technology and robotic control technology fall under two separate industries, giving startups a chance to overtake competitors. Beijing-basedCurveRobothas secured over 10 million yuan in angel round funding fromiVision Ventures, which will primarily be used for talent recruitment, equipment procurement, and technology R&D. In the first half of 2016,CurveRobotbegan focusing on the application of 3D vision technology in industrial robotics, primarily in the window, door, and furniture painting industry.

3D vision technology can capture three-dimensional information about objects, including size, posture, and distance, assisting robotic arms in accurately positioning and grasping them during sorting. Traditional industrial robots can only grasp fixed-pattern objects in structured environments, while flexible recognition and painting still rely on manual labor. Previously, domestic 3D vision positioning solutions remained largely in the research phase, with few tangible products. Implementing 3D vision technology faces two major challenges. First, the algorithm must be highly adaptable to the application scenario. For example, accurate three-dimensional recognition of objects can be achieved despite strong reflected light interference from metal surfaces. Second, the integration of 3D vision technology with motion planning technology. After acquiring the object's three-dimensional information, the robot's motion needs to be calculated, and the controller controls the angle, force, and distance of each joint's motion. This "inverse solution" process has previously been largely academic, with limited industrial application. Furthermore, practical applications also require careful attention to obstacle avoidance. CurveRobotcurrently primarily uses purchased 3D cameras, but anticipates the release of its own high-precision industrial 3D camera in the first quarter, at which time CurveRobot will also initiate its second round of financing.