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.