Locus Robotics Acquires Nexera Robotics for AI-Powered Grasping in Warehouse Automation

Locus Robotics Acquires Nexera Robotics for AI-Powered Grasping in Warehouse Automation

5 min read•May 21, 2026•
Anna Kowalski
Anna Kowalski

Locus Robotics has acquired Nexera Robotics, bringing AI-driven grasping intelligence into the Locus Array autonomous fulfillment platform. The deal combines Nexera's patented soft-membrane gripper — validated through tens of millions of picks — with Locus's existing AMR fleet, directly targeting the manipulation bottleneck that has limited automated warehouse fulfillment at enterprise scale.

What is the NeuraGrasp Technology Locus Acquired?

NeuraGrasp is a robotic end-effector system that combines AI-driven grasping intelligence, onboard sensory inputs, computer vision, and a patented soft membrane structure to dynamically adapt to each item's physical characteristics. Developed over five years through six generations of refinement, it handles variations in shape, surface texture, material, porosity, and weight without manual end-effector changes.

The technology stands apart from traditional suction or jaw grippers by eliminating the need for tool changers between SKU types. According to the companies, NeuraGrasp has been validated through thousands of hours and tens of millions of picks across the broadest SKU testing with commercial partners. "Being able to efficiently grasp millions of SKU types with both speed and precision is where the next decade of value gets created," Rick Faulk, CEO of Locus Robotics, stated in the acquisition announcement.

CapabilityTraditional Suction GripperTraditional Jaw GripperNeuraGrasp
Porous itemsPoorGoodReliable
Irregular shapesFailureLimitedAdaptive
Surface texture rangeNarrowModerateFull range
Item weight variationLimitedGoodBroad
Changeover timeManual minutesManual minutesZero
Close-up of the NeuraGrasp end-effector showing the soft membrane structure designed for adaptive grasping of varied item shapes and materials

How Does Locus Array Benefit from AI-Driven Grasping?

The Locus Array system — a robots-to-goods autonomous fulfillment platform that combines piece-picking technology with AMRs for in-aisle picking and other workflows — gains the ability to handle a dramatically wider range of products without mechanical reconfiguration. NeuraGrasp becomes the manipulation layer for Array, enabling the system to pick items it previously could not manage reliably.

Roy Belak, CEO of Nexera Robotics, described the integration rationale: "We built NeuraGrasp to solve the manipulation challenges that have held robotic picking back for years. Joining Locus Robotics gives us the platform, scale, and customer base to bring this breakthrough technology into the high-velocity fulfillment environments it was designed for." Locus launched Array at the recent MODEX conference, and the Nexera acquisition accelerates its path to handling the full SKU diversity found in real warehouse operations — from polybags to irregular consumer goods to fragile items.

Why Does Mobile Manipulation Matter for Warehouse Automation?

Mobile manipulation — the combination of autonomous mobility with dexterous grasping — has been widely identified as the next frontier in warehouse robotics. Most current AMR deployments handle transport only: robots move bins or shelves, but humans still perform the actual picking. Mobile manipulation closes that gap, allowing a single robot to navigate to a location, identify items, grasp them, and place them in the correct destination.

"Being able to efficiently grasp millions of SKU types with both speed and precision is where the next decade of value gets created," Faulk noted. The industry-wide cost of manual picking in fulfillment centers is estimated at billions of dollars annually, and every percentage point of automation directly improves throughput and labor economics. For Locus, adding Nexera's capabilities positions the Array system to compete with the emerging wave of humanoid robots and stationary robotic arms that vendors are racing to deploy in warehouse settings.

The Locus Array system in a warehouse fulfillment environment, showing autonomous mobile robots coordinating with piece-picking technology for in-aisle operations

What This Means for Warehouse Buyers

For logistics operators evaluating automation investments, this acquisition signals that AI-driven mobile manipulation is moving from pilot scale to commercial deployment. Key implications for buyers:

Total cost of ownership improves as one system handles SKU diversity that previously required multiple end-effector types or manual intervention. Labor substitution ratios increase because the same robot platform can both transport and pick, reducing the number of separate automation systems needed per facility.

For buyers currently operating Locus AMRs or evaluating the Array system, the Nexera integration means access to a picking capability that handles porous items, irregular geometries, and variable textures — the SKU categories that have historically required human operators. This matters most for e-commerce fulfillment, grocery logistics, and general merchandise distribution, where item variability is highest.

Buyers comparing against used industrial robots or used cobots for sale should weigh whether a fully integrated mobile manipulation system like Array offers better deployment speed than stitching together separate AMR and arm systems. The zero-changeover gripper design is a specific cost advantage for facilities processing more than 50 distinct SKU types per hour — the threshold where manual gripper swaps start degrading throughput measurably.

Boston Dynamics names former Amazon AI executive Rohit Prasad CEO

Boston Dynamics has named former Amazon executive Rohit Prasad as CEO, effective tomorrow, nearly nine months after former CEO Robert Playter stepped down, first reported by Therobotreport. Prasad will replace interim CEO Amanda McMaster, as Boston Dynamics says his appointment will accelerate its physical AI strategy of combining robotics and advanced AI to commercialize intelligent machines at scale.

McMaster took over after Playter left in February. Prasad is the company’s third CEO; founder Marc Raibert led it from its creation in 1992 until 2020.

Before joining Boston Dynamics, Prasad was Amazon’s senior vice president and head scientist for Alexa and artificial general intelligence. During 12 years at Amazon, he helped build Alexa from its earliest days and later led development of the Amazon Nova foundation model family used by enterprises. Before Amazon, he spent nearly 14 years at Raytheon BBN Technologies, leading machine-learning research and its real-world application for U.S. government and commercial use.

Prasad said he plans to productize intelligent robotic systems to improve safety, productivity and operational efficiency across industrial and commercial environments. His background spans consumer AI and enterprise foundation models, while Boston Dynamics says its strategy combines advanced AI with robotics to commercialize intelligent machines.

Jaehoon Chang, Hyundai vice chair and chair of Boston Dynamics’ board, said the company’s robotics, Prasad’s AI product experience, and Hyundai Motor Group’s manufacturing, logistics and mobility capabilities provide a foundation to build and scale physical AI. Hyundai acquired a controlling stake in Boston Dynamics from SoftBank Group in 2021.

Subject to the relevant approval process, Prasad is also expected to join the company’s board.