RightHand Robotics, a provider of autonomous robotic piece-picking solutions, and Element Logic, an intralogistics company, announced the launch of an integrated robotic piece-picking solution that combines the technologies of both companies.
The robotic piece-picking solution combines technology from RightHand Robotics with Element Logic software and AutoStore’s automated storage and retrieval system. The system integrates with any warehouse management software or enterprise resource planning system, enabling customers to decrease operational costs and boost profit.
The RHR platform is able to pick and place a wide range of items, fulfilling orders at high speeds while ensuring that customers consistently receive what they ordered. The system uses vision, machine learning and a multi-function gripper with gripping fingers that can be used independently or in tandem with humans at the same picking station for maximum flexibility.
Element Logic offers Design and Consulting services to let customers know how this platform can work for them. This includes a pickability assessment where customers have the option to see for themselves how well the robotic piece-picking platform picks and places their SKUs, followed by a detailed report with recommendations for optimal use tailored to their specific needs.
About Element Logic
Element Logic is the original AutoStore partner and leading technology and intralogistics company in Europe – focusing on optimizing warehouse performance. The company was established in 1985 and is represented in 8 countries - serving customers of all sizes in a wide range of industries; parts distribution, 3PL, pharmaceuticals, apparel and sports equipment etc. Autostore is a compact, flexible and scalable Automated Storage and Retrieval System (AS/RS)
About RightHand Robotics
RightHand Robotics is a leader in providing robotic piece-picking solutions that improve performance and efficiency in e-commerce order fulfillment and intralogistics. The platform is a software-driven, hardware- enabled solution that handles the core task of picking and placing individual items as part of a wide range of workflows and processes. With this technology, businesses can reduce the cost of order fulfillment in electronics, apparel, grocery, pharmaceuticals, and many other industries. RHR was founded in 2014 by a DARPA challenge-winning team from the Harvard Biorobotics Lab, the Yale GRAB Lab, and MIT, intent on bringing grasping intelligence powered by computer vision and applied machine learning to bear on real-world problems. The company is based in the U.S., outside of Boston, Massachusetts.
