Invata Intralogistics
US warehouse automation integrator specializing in engineered intralogistics with proprietary AutomateAI software; acquired by McMurray Stern in 2024.
Invata Intralogistics is a Conshohocken, Pennsylvania-based system integrator that designs, implements, and supports end-to-end warehouse and fulfillment automation solutions. Founded in 2010, the company delivers purpose-built intralogistics systems integrating receiving, storage, retrieval, picking, sortation, packing, shipping, and reverse logistics functions. Its proprietary AutomateAI warehouse control and management software serves as the operational backbone, coordinating automation hardware including autonomous mobile robots (AMRs), MiniLoad and shuttle-based ASRS, conveyor and sortation systems, and goods-to-person technologies.
Invata serves e-commerce, retail, and third-party logistics clients seeking high-throughput distribution center performance. The company provides full lifecycle services covering engineering design, installation, integration, and ongoing system support. In January 2024, Invata Intralogistics was acquired by McMurray Stern, expanding its capabilities and geographic reach within the intralogistics sector.
Primary type & automation activities this supplier delivers:
AutomateAI Warehouse Control System
Proprietary WCS/WMS platform that orchestrates all automation hardware across receiving, storage, picking, sortation, packing, and shipping in distribution centers.
Contact Invata Intralogistics
WEBSITE
http://www.invata.comHEADQUARTERS
United States
Company Facts
Founded
2010
Primary Role
System Integrator
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
-
Funding Total
-
Challenges in Humanoid Robotics: Balancing AI and Hardware Limitations
Andreas Friedrich, Managing Director of Technology & Strategy at Allegro MicroSystems, will present at RoboBusiness on October 20-21 in Santa Clara, focusing on advancements in robotic actuation technology. As humanoid robots evolve, accommodating the necessary hardware for movement becomes increasingly complex due to stringent size and weight constraints. The integration of artificial intelligence has enhanced humanoid robots' ability to perceive their environment and make decisions. However, translating these decisions into smooth and safe physical actions poses significant engineering challenges, especially as these robots transition from prototypes to operational machines that work alongside humans. The ongoing development of AI is crucial, but the physical limitations of humanoid robots will ultimately dictate how effectively this intelligence can be utilized. The shift towards higher voltage power architectures in humanoids illustrates the intricate relationship between electrical and mechanical design, highlighting the need for innovative solutions to overcome these challenges.
Artificial Intelligence / Cognition Design / Development Humanoids News
Productive Robotics Launches Tregaskiss Tough Gun I.C.E. Torch for Blaze Welding Systems
Productive Robotics has unveiled the Tregaskiss Tough Gun I.C.E. (Integrated Cooling Enhancer) torch, designed specifically for its 7-axis Blaze robotic welding systems. This new option aims to mitigate heat-related consumable failures that can occur during automated welding processes with high duty cycles. The introduction of the I.C.E. torch is significant as it addresses a common challenge in robotic welding—overheating of consumables. By enhancing cooling capabilities, Productive Robotics aims to improve the reliability and efficiency of its Blaze systems, which are increasingly utilized in demanding industrial applications. Looking ahead, the adoption of the Tregaskiss Tough Gun I.C.E. torch could lead to broader implementation of Productive Robotics' solutions in sectors requiring robust welding capabilities. No further timeline was disclosed at the time of publication.
China Achieves First AI-Guided Surgery for Congenital Heart Disease Using Intelligent Robotics
Recently, a medical team in China completed the world's first AI ultrasound robot-assisted interventional procedure for congenital heart disease. Conducted by the Cardiovascular Medicine Department of the Sixth Medical Center of the PLA General Hospital, this surgery marks a significant milestone in the clinical application of intelligent technology in healthcare. This breakthrough is crucial as it signifies the integration of artificial intelligence into one of the most critical aspects of surgical procedures: interpreting images, assessing positions, and aiding doctors in formulating operational plans. Traditionally, cardiovascular interventions heavily relied on physician experience, particularly in complex cases where accurate understanding of heart structure changes is essential. Looking ahead, the focus may shift from merely achieving higher precision with robotic arms to whether robots can comprehend medical images, analyze patient conditions, and adapt strategies in real-time. The integration of AI models, medical imaging, and robotic control systems will be vital for advancing surgical capabilities, especially in areas lacking experienced specialists.
AI in Healthcare Surgical Robotics Medical Imaging Cardiovascular Surgery
Challenges in Implementing Predictive Maintenance for Robot Fleets
Many predictive maintenance initiatives in robotics face a common hurdle: after installing sensors and training models, progress often halts. The anomaly score generated by these systems does not equate to actionable decisions, leading to a gap in the maintenance process. Without a technician assigned, confirmation of spare parts availability, and scheduling for repairs, the potential benefits of predictive maintenance remain unrealized. This issue is significant as it highlights the limitations of current predictive maintenance strategies in robotics. The inability to transition from data insights to actionable work orders can lead to increased downtime and inefficiencies in robot fleet management. Organizations investing in predictive maintenance technologies must address these operational challenges to fully leverage their investments and enhance productivity. Looking ahead, it will be crucial for companies to develop streamlined processes that connect predictive maintenance insights with practical maintenance actions. No further timeline was disclosed at the time of publication, but advancements in this area could lead to more effective management of robotic systems and improved operational efficiency.
Artificial Intelligence Computing Factories Internet asset management condition monitoring
Pressure Sensors Enhance Robotic Gripping Accuracy and Interaction Control
The integration of pressure sensors into robotic grippers, such as the UMI gripper from XELA Robotics, significantly improves gripping accuracy. Unlike traditional methods that rely solely on motor current and position, pressure sensors provide critical real-time data on contact interactions, enabling better control during gripping tasks. This advancement is particularly crucial in industrial applications like bin picking and mixed-part handling, where the nature of contact can vary widely. By measuring distributed mechanical stress at the contact interface, pressure sensors allow for a nuanced understanding of how different materials respond to gripping forces, thus enhancing the reliability of robotic operations. Looking ahead, the continued development of pressure sensing technology in robotic systems will likely lead to more sophisticated interaction controls. No further timeline was disclosed at the time of publication.
End Effectors / Grippers Grippers Human Robot Interaction / Haptics News Sensors / Sensing Systems
AI Framework PACMAN Enables Rapid Control of Fusion Plasma at Princeton Lab
Researchers at the U.S. Department of Energy's Princeton Plasma Physics Laboratory and Princeton University have developed PACMAN, an AI software framework that controls fusion plasma faster than human operators can react. This innovation is crucial as fusion systems can experience instabilities in mere milliseconds, making human intervention impractical. The PACMAN framework allows for real-time decision-making while ensuring safety protocols are upheld, with human operators setting the system's objectives. This capability is vital for maintaining the stability of fusion reactions, which rely on precise adjustments to heating equipment and magnetic fields to keep plasma conditions optimal. The initial tests of PACMAN were conducted in five experiments, demonstrating its effectiveness in managing fusion plasma. As researchers continue to explore practical fusion energy solutions, the integration of multiple AI models within PACMAN represents a significant advancement in the field. No further timeline was disclosed at the time of publication.
Exploring the Role of FPGAs in Enhancing Physical AI Security
In Episode 260 of The Robot Report Podcast, Eric Sivertson, vice president of security at Lattice Semiconductor, discusses the significance of FPGAs in physical AI security. He highlights how these field-programmable gate arrays are crucial for building safe and secure robots, emphasizing their role in enhancing trust in embedded systems. The conversation underscores the growing importance of security in robotics, particularly as the industry shifts towards more advanced AI applications. Sivertson's extensive experience in developing technologies for security and connectivity positions him to provide valuable insights into the challenges and opportunities within this sector. Listeners should pay attention to the evolving landscape of physical AI security and the potential for FPGAs to serve as foundational elements in safeguarding robotic systems. No further timeline was disclosed at the time of publication.
Artificial Intelligence Autonomous Mobile Robots (AMRs) Humanoids Manufacturing Markets / Industries Microprocessors / SoC
iRobot Introduces the Roomba Duo, a Dual Robot Vacuum Concept
iRobot unveiled the Roomba Duo at the IFA tech show in Berlin, showcasing a concept that integrates a heavy-duty floor-washing machine with a smaller Roomba vacuum. The Duo features a mechanical arm that lowers the smaller unit for cleaning tight spaces, while the main unit handles larger areas with advanced navigation capabilities. This innovation is significant as it combines multiple cleaning functionalities into one device, potentially simplifying home cleaning for consumers. iRobot's Adam Pope emphasized that the main vacuum is the most powerful the company has produced, comparable to traditional upright vacuums, and can effectively handle solid messes while also steaming floors. As a concept product, the Roomba Duo lacks a price and release date, with ongoing development based on user feedback. Observers should watch for updates on its specifications and market readiness, as the device aims to redefine floor care in homes, despite concerns about its long-term durability.
IFA 2026 News Robot Smart Home Tech
Can Improved Hydraulic Systems Propel Humanoid Robots Towards Greater Versatility?
The humanoid robot industry faces a paradox: the pursuit of versatility necessitates specialized power solutions. Tesla's Optimus, Figure AI's tests at BMW, and Agility Robotics' Digit at Amazon showcase advancements but reveal structural weaknesses in execution. Issues like insufficient power, range anxiety, and adaptability to extreme environments remain unresolved. Experts, including Zhang Jianwei and Wang Jian, emphasize that the fundamental challenges lie in the physical properties of materials used in motors, which are limited by cost and efficiency. They argue that hydraulic systems, often deemed 'non-scientific' due to their complexity, could redefine actuator capabilities if the basic problems are solved. The economic paradox of traditional robotic actuators is highlighted by the high integration costs associated with systems like Boston Dynamics' Atlas. As the humanoid robot sector evolves, it inherits the complexities of traditional hydraulic systems, which require numerous sensors and intricate control networks. The real question is not whether hydraulics can provide power, but whether that power can be easily harnessed by robots. ClearZhu Power aims to address this challenge with its digital hydraulic technology.
Hydraulic Systems Humanoid Robots Robotics Technology Automation
U.S. Army Awards $464.8 Million Contract for 30-kW LOCUST Laser Systems
The U.S. Army has awarded AeroVironment a $464.8 million contract for the production of LOCUST laser systems under the Enduring-High Energy Laser (E-HEL) program. This contract marks a significant milestone as it is the first production contract for a directed-energy weapon in U.S. history, indicating a shift from experimental systems to operational capabilities. The LOCUST X3, a 30-kilowatt laser weapon, is designed to counter Group 1–3 unmanned aircraft systems and can be integrated onto various platforms, including the Army's Joint Light Tactical Vehicle. The contract aims to provide a scalable and cost-effective air defense solution against drones, which have become increasingly prevalent on modern battlefields. Looking ahead, AeroVironment is expanding its production capacity with a $30 million investment in its Albuquerque facility to support the ramp-up of LOCUST systems. The E-HEL program is expected to enhance the Army's defenses against drone threats, marking a significant step towards the routine use of laser weapons in military operations. No further timeline was disclosed at the time of publication.
Military
WRC 2026 Robot Systems: 149 Companies That Build Robots
149 of the 248 classified WRC 2026 exhibitors build finished robots. 93 build humanoid or legged machines. The audited humanoid sales number is one unit.
Springer Handbook of Robotics B. Siciliano & O. Khatib (eds.) — RSF Top 10 Robot Education Textbooks · No. 10
Eighty-plus chapters, 2,300 pages, nobody reads it cover to cover. It ranks for one reason: when a fault crosses domains, this is the reference of record.
Autonomous Mobile Robots Siegwart, Nourbakhsh & Scaramuzza — RSF Top 10 Robot Education Textbooks · No. 3
AMR and AGV fleets are the biggest robot service market. Siegwart decodes the vendor manual: odometry, localization, cost maps.
Robotics, Vision and Control Peter Corke — RSF Top 10 Robot Education Textbooks · No. 5
Most books you read; Corke's you run. Every concept ships as executable Python via the open Robotics Toolbox. The code softens the maths.
Big Joe's Four-Product AMR Push at Automate 2026: What It Reveals About the North American Warehouse Automation Market
RobotToday analyzes Big Joe's four new autonomous vehicles launched at Automate 2026 — AP44, ASC40, ATC100, ACV40 — in the context of North America's warehouse labor shortage and AMR market growth.
Piaggio Fast Forward Brings kilo® Autonomous Mobile Robot to Automate 2026
Piaggio Fast Forward showcases kilo®, an infrastructure-free collaborative AMR (300 lb payload, 360° LiDAR), at Automate 2026 booth #17054.
When a Materials Giant Meets Robotics: Covestro at Automate 2026
At Automate 2026, Covestro brought Makrolon, Bayblend, Baysafe BEF and Vulkollan to robotics — tackling weight, heat, sensing and sustainability for humanoids and AGV/AMRs.
Vietnam Robotics Industry Report 2026
Comprehensive analysis of Vietnam's robotics industry: market size, industrial policy, key companies (Vingroup, Apicoo, Phenikaa-X), geopolitical dynamics, and 2030 growth opportunities.
CIIF 2026 | China International Industry Fair | Oct 12–16, Shanghai | CIROS Robot Show
CIIF 2026 — the 26th China International Industry Fair — takes place October 12–16 at Shanghai NECC. 10,000+ exhibitors, 280,000 sqm, including the CIROS Robot Show covering industrial robots, AMR, cobots, and intelligent manufacturing.
GLOBAL ROBOTICS INDUSTRY Comprehensive Sector Overview
A comprehensive global robotics industry overview for 2025, analyzing 14 key market segments — from industrial and humanoid robots to logistics AMRs, military systems, and service robots — with expert market sizing, US case studies, five-year forecasts, and bilingual English-Chinese analysis for executives and investors.
