Product

RightHand Robotics, Inc.: RightPick 3



RightHand Robotics is a leader in providing end-to-end solutions that reduce the cost of e-commerce order-fulfillment of electronics, apparel, grocery, pharmaceuticals, and countless other industries. Unlike traditional factory robots that can be complex to set up and are singly purposed, RHR solutions are simple to integrate and adaptable to improve the utilization of many different customer workflows, such as sorting batch-picked items, picking items from an ASRS, inducting...
237 Washington Street
Somerville, Massachusetts, 02143
United States

[email protected]
RightHand Robotics Company Profile

Autonomous, industrial robot system is flexible, field tested

Autonomous, industrial robot system is flexible, field tested

Providing system integrators an item-handling option to enhance facility designs that use AS/RS systems, along with other standard automation, the RightPick 3 system offers a straightforward, modular design. The latest generation of autonomous, industrial robot systems, the RightPick 3 provides more performance and fleet management capabilities than previous generations.

Highly flexible, field tested and reliable, the system has proven APIs, which can be used for greenfield designs and retrofits.

The system can be effortlessly integrated with existing warehouse automation workflows. Powered by the RightPick AI software stack, the system offers model-free picking that incorporates innovative machine-learning. It features the RightPick Processor, which processes vision algorithms very quickly, using ultrafast GPUs.

MODEX 2022 - Booth B8622

Company Product Description

The RightPick system handles the core task of picking and placing individual items as part of a wide range of fulfillment center processes. The piece-picking solution combines an intelligent gripper, a vision system, and control software with learning as a form of hand, eye, coordination providing accountability for picking success. Driven by RightPick AI, the modular system leverages machine learning across the fleet to continuously improve picking in a variety of workflows, enabling supply chain managers to predictably increase productivity in distribution centers around the world.