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.

Arizona appeals court vacates manslaughter sentence after AI video

An Arizona appeals court vacated the 10.5-year sentence of Gabriel Horcasitas while upholding his manslaughter conviction, first reported by Nytimes. The case returns to Maricopa County Superior Court for resentencing without the video, after judges found that it presented scripted statements as if the victim himself were speaking in court.

The three-judge panel said the video generated a likeness of Christopher Pelkey’s voice and appearance but did not reflect actual events. It found that allowing and relying on the video made the sentencing fundamentally unfair, and noted that no prior Arizona case had addressed the admissibility of such a depiction at sentencing.

The judges said a victim’s right to speak cannot override a defendant’s right to be sentenced on accurate, reliable information. They said the video collapsed the distinction between the family’s belief about what Pelkey would have said and Pelkey’s own voice and opinions.

The ruling distinguishes family members speaking about Pelkey from a generated likeness that appeared to speak for him.

Pelkey’s sister, Stacey Wales, presented the video during Horcasitas’s sentencing alongside victim-impact statements from family and friends. Wales wrote the script and said her husband and the couple’s longtime business partner helped create the video using Pelkey’s voice from a YouTube video and his face and torso from a funeral-service poster.

Judge Todd F. Lang praised the video as genuine, then imposed the maximum sentence of 10.5 years, more than the nine years prosecutors had sought.

Wales said nobody intended to make the court believe Pelkey was alive or that he had recorded the video before his death. She said she disagreed with the ruling and argued that families use slide shows, collages, hypothetical conversations and poetry to convey grief.

Wales compared the AI video with photography, saying it took 15 years of landmark cases around the 1860s before photography was widely accepted in courts.

The case returns to Maricopa County Superior Court for a new sentencing hearing without the AI-generated video.