PICK-PLACE focuses on flexible, safe and dependable robotic part-handling in industrial environments. The project proposes a combination of human and robot capabilities in order to achieve this efficient hybrid pick-and-place / pick-and-package solution. It includes dynamic package configuration, flexible grasping strategies using an innovative multifunctional gripper, robust environment perception and mechanisms and strategies for human-robot collaboration.
Every day thousands of spare parts of different sizes, shapes, and weights are delivered to dealers from logistic warehouses. Every dealer can choose an order parts in any combination. The possibility of automatization in a warehouse is reduced because of this non-standard situation.
Therefore, manual handling is used widely in shipment preparation operations. Unfortunately, manual operations are unefficient and prone to shipment mistakes. At TOFAŞ, we aim at reducing these factors by the results obtained in PICK-PLACE project. Read more
ULMA Pilot Scenario has been designed to implement the two types of activities that are present in a logistic center, i.e., order preparation and order return management, being the first the most relevant from the industrial point of view and the second the more challenging from the technical perspective. Read more
Source: Business Wire
SAN FRANCISCO & YOKOHAMA, Japan–(BUSINESS WIRE)–OSARO Inc., a rising leader in machine learning software for industrial
Source: Robotics Business Review / by Kayla Matthews
To optimize order picking, robot designers, integrators, and users should consider