Patented AI-powered technique lets robots estimate grasp depth
OSARO’s self-supervised learning approach improves adaptability in dynamic warehouse environments, enhancing efficiency in e-commerce fulfillment and logistics operations.
OSARO’s self-supervised learning approach improves adaptability in dynamic warehouse environments, enhancing efficiency in e-commerce fulfillment and logistics operations.
By utilizing self-supervised learning, robots can adapt to diverse products and complex grasping scenarios, enhancing efficiency in high-volume fulfillment centers.
OSARO’s latest innovation enables robots to determine object positions through physical interaction, eliminating the need for specialized sensors.
OSARO® has patented a groundbreaking technology that enables robots to estimate object depths without specialized sensors, enhancing accuracy and efficiency in fulfillment centers. This innovation allows robots to handle diverse items more effectively, reducing costs and adapting seamlessly to changing warehouse demands.