AI robotic picking: RightPick vs OSARO vs Berkshire Grey

Automate the moment an item leaves its bin

A warehouse can move totes efficiently and still rely on people to pick individual products. RightHand RightPick, OSARO Piece Picking, and Berkshire Grey Core address that manipulation step: seeing an item, choosing a grasp, moving it, and placing it correctly. This comparison concerns robotic piece picking within fulfillment, with the table linking to current system profiles and configuration details.

RightHand RightPick

RightHand RightPick combines an AI picking brain, industrial vision, and a specialized gripper using compliant fingers and suction. The system is built for item-level order fulfillment, with perception, motion planning, and handling engineered together. RightPick learns across its fleet, so a new workcell can benefit from knowledge collected by earlier deployments. The current system description also includes exception handling, multi-pick and trash detection, and optional in-hand barcode scanning for order validation. A suction-cup switching add-on broadens the handling options for different packaging. Those functions matter when one station needs to process a varied assortment into multi-line orders. RightPick suits a fulfillment operator or integrator seeking a defined picking system that can connect through an API to material-handling workflows. Its item-qualification process remains relevant: a broad SKU range does not establish that every product in a catalog is robot-pickable. Optional peripherals should also be distinguished from the base workcell.

OSARO Piece Picking

OSARO Piece Picking uses SightWorks perception and control with AutoModel learning to handle changing items in cluttered bins and totes. Its current solutions page describes an adaptable system that learns new SKUs without item-by-item manual programming. Sensors classify pick outcomes such as drops, misplacements, and barcode results, feeding that evidence back into model improvement. OSARO also packages the same perception capability around bagging and kitting, so the item’s destination is part of the application choice. In bagging, the robot places a selected product into an open bag; in kitting, it assembles variable combinations into a complete kit. This application breadth suits an integrator or fulfillment team whose manipulation task extends beyond a simple bin-to-bin transfer. OSARO’s offering should be understood as a configured robotics workflow rather than a software download that independently completes a warehouse. The robot, end effector, material flow, and selected perception scope determine what the installation can do.

Berkshire Grey Core

Berkshire Grey Core brings AI perception, motion planning, orchestration, and SpectrumGripper hardware into one robotic picking system. Its adaptive gripping proposition focuses on difficult assortments, including porous, irregular, heavier, and unfamiliar items. The system also addresses placement: orienting and positioning a product can improve tote or carton use and keep the next fulfillment step moving. Core is presented in configurations for totes, AMRs, goods-to-person systems, sorters, put walls, autobaggers, and custom setups. That gives a high-volume operation several ways to use the picking capability within its existing flow. Berkshire Grey’s broader warehouse offering also includes movement and sortation systems, which should remain separate from the Core workcell being compared. Core suits operators wanting an integrated item-handling platform with a clear destination and placement requirement. Its claimed performance figures describe the vendor’s proposition, while actual throughput also depends on item presentation, replenishment, and the downstream equipment connected to the cell.

Grasping hardware and perception flexibility

RightPick’s compliant fingers and suction combine several handling techniques in a purpose-built system. Berkshire Grey centers its difficult-item proposition on SpectrumGripper and unified perception-to-placement design. OSARO foregrounds SightWorks and AutoModel across different robotic applications. For an operation dealing with a diverse mixed bin, all three address perception and grasp selection, but the buying emphasis differs. RightPick offers a recognizable hand-eye system, Core emphasizes integrated adaptive handling and placement, and OSARO provides an application-oriented perception and learning stack. Comparing those approaches is more useful than assuming one headline pick-speed figure describes the whole station.

What happens after the pick

RightPick can validate an item through optional barcode scanning before placing it in an order. OSARO explicitly connects perception to bagging and kitting workflows, where verification and sequencing help produce a complete package. Core gives precise orientation and placement a prominent role within tote and carton handling. RightPick’s API integration, OSARO’s goods-to-robot applications, and Core’s range of station configurations all make the surrounding material flow important. The practical choice follows the next step: collecting an order, feeding a bagging machine, assembling a kit, or packing a container with limited space.

Configured systems need comparable commercial scope

RightPick, OSARO, and Berkshire Grey do not establish a current public numeric price for the configured systems in this comparison. OSARO describes flexible options including Robot-as-a-Service, while fees, intervals, and minimum commitments remain unconfirmed. RightPick and Core are demo-led purchases whose equipment, integration, and service scope need definition. A quote for perception software is not equivalent to one containing a complete workcell, peripherals, and lifecycle support. The product profiles keep these commercial boundaries visible without inventing a cost-per-pick calculation.

Which should you choose?

Consider RightPick for an integrated piece-picking system with optional order validation, OSARO for adaptable perception across picking, bagging, or kitting, and Berkshire Grey Core for integrated gripping and precise placement in high-volume flows. Choose around the item mix and destination the station must handle.