Inbolt, a vision-guidance for robots company, has launched a bin picking solution designed to bring human-like adaptability to industrial robotics. Designed for fully unstructured environments, the solution allows robots to identify, grasp, and place parts, even when objects are randomly positioned or partially hidden. Inbolt Intelligent Bin Picking brings AI 3D vision directly onto the robot arm. Courtesy of Inbolt. Traditional bin picking systems rely on fixed overhead high-end and long range 3D cameras, complex calibration, and pre-calculated grasp points. These setups tend to be expensive, rigid, and can be easily disrupted when bins move, parts aren't detected, or pre-defined pick points aren't detected. Inbolt's approach instead uses a 3D camera mounted directly on the robot arm, powered by the company's proprietary AI. The robot identifies any pickable side, and once the object is gripped, the robot analyzes and locates it, which is known as in-hand localization. This closed-loop process allows the robot to adapt in real time to part variability and bin movement. According to Inbolt, the system system is able to achieve The system runs on NVIDIA’s hardware platform and uses Inbolt’s AI robot guidance models, which enable real-time pose estimation and continuous trajectory correction. With this technology, computational load is minimized, which ensures consistent performance across different use cases and part geometries.