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CapSen Robotics Officially Launches CapSen PiC Software for Robotic Bin Picking With 3D Vision

Pittsburgh, PA — May 1, 2023 — CapSen Robotics, an innovator in 3D machine vision and motion planning software for robotic bin-picking applications, has announced the official v1.0 release of its CapSen PiC solution, which turns any industrial robot arm into a robot work cell designed to tackle today’s most challenging pick-and-place applications.

CapSen PiC software combines 3D vision, motion planning, and control algorithms to give robots the ability to locate, pick, and manipulate objects from cluttered bins and shelves. It correctly detects 3D objects in a range of different positions and orientations, even when partially occluded or in tight, variable workspaces. The software provides consistent and complete control of a robot, end effector, and 3D cameras within a robot cell, greatly reducing the integration burden of deploying a bin-picking system.

“Tasking a robot with making high-speed, accurate picks of parts presents several challenges, including the fact that parts can be randomly piled in containers, stacked on top of one another, or even entangled,” said Jared Glover, CEO, CapSen Robotics. “CapSen PiC takes aim at the most challenging bin-picking problems by combining 3D vision with advanced motion planning and control software to give robots spatial intelligence, and it does so without the need to custom program new parts.”

See PiC-Powered Pick-and-Place Robots at Automate 2023

A hardware agnostic platform, CapSen PiC v1.0 offers advanced motion planning algorithms that ensure collision avoidance while delivering fast and accurate parts picking, regrasping, and even advanced tasks such as detangling and assembly. Image processing and planning times of less than one second make it the fastest bin-picking software on the market. PiC-powered robot cells can pick and place up to 30 parts per minute, representing a reliable automation solution for short-run assemblies and repurposing robots for disparate plant-floor tasks.

CapSen PiC v1.0 debuts at this year’s Automate show, which runs May 22–25 in Detroit. In the live demonstration in booth 1632, the software will be paired with a DENSO VP-6242 — a small assembly robot known for speed, precision, and longevity — helping the robot disentangle hooks.

“Deploying CapSen PiC allows DENSO robots to manipulate a range of pick-and-place tasks — from small, difficult-to-grasp parts to heavier objects that must be moved quickly and efficiently,” said Mark Anderson, Regional Sales Engineering Manager at DENSO, the largest manufacturer of small assembly robots in the world.

In addition, CapSen PiC will be shown in Calvary Robotics’ booth (#4007) as part of a medical supply pick-and-place demonstration. Calvary Robotics is CapSen’s systems integrator partner.

“At Calvary Robotics, we believe in identifying the right partners to help us deliver cutting-edge systems to our customers,” said Michael Marseglia, VP Sales and Business Development at Calvary Robotics. “CapSen PiC is a game-changing software for robotic bin-picking applications, enabling fast and accurate pick-and-place capabilities even in cluttered environments. We are proud to offer this innovative technology to our customers and provide them with exceptional solutions.”

To schedule a demonstration, contact us. | For more information, visit www.capsenrobotics.com.

About CapSen Robotics 

CapSen Robotics was founded in Pittsburgh in 2014 by Jared Glover, Ph.D., and industry expert Mark Schnepf with the goal of providing a universal 3D vision system that gives robots spatial intelligence for pick and place applications. Our flagship product, CapSen PiC™, combines 3D vision, motion planning, and control algorithms to give robots the ability to locate, pick, and manipulate objects from cluttered bins and shelves. Our hardware-agnostic software is widely used across various manufacturing industries, including medical and pharmaceutical, general, and automotive, as well as in energy and warehousing and logistics.

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