Speeding Robotics Automation with AI

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Kristi Martindale

Chief Commercial Officer

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Speeding Robotics Automation with AI

ABI Research report explores AI-enabled robotics automation

The US$53 trillion manufacturing economy is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.

Improving quality levels is an operational challenge facing manufacturing professionals1 and according to a recent report by ABI Research, AI can help accelerate transformation of the quality assurance and inspection process in manufacturing.

The ABI Research team evaluates key factors that influence AI and Machine Learning (ML) market activities and business models. Their research indicates that closed-loop AI automation programming software is challenging traditional approaches to manufacturing and is redefining the economic value equation for quality control (QC) and inspection.

The report by ABI senior research director Ryan Martin details the following:

  • Key phrases for closed-loop AI software automation
  • Discusses the characteristics and impact of the foundation model
  • Provides key timelines for the implementation of AI-enabled automation

ABI Research highlights that implementing Palladyne IQ robotic AI software helps automate inspection and streamline production across industries. Palladyne IQ can help implement more agile manufacturing through AI software that enables robotic systems to adapt and adjust to different product models autonomously, with minimal training, fostering the flexibility to meet changing manufacturing requirements.

The Palladyne AI software platform is built around an innovative concept known as “closed-loop autonomy.” This approach enables machines to observe, learn, reason, and act with remarkable agility, resembling human capabilities in completing tasks. It also demands minimal training time, uses limited data sets, and has lower power requirements.

To learn more about how to speed up robotics AI automation, download the Speeding Robotics Automation with AI whitepaper.


1 ABI Research 2025 Industrial & Manufacturing Survey


This blog contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, including, but not limited to, statements regarding the capabilities or future capabilities of Palladyne AI’s foundational technology and products and the industries that could benefit from them. Generally, statements that are not historical facts, including statements concerning possible or assumed future actions, business strategies, events, or results of operations, are forward-looking statements. These statements may be preceded by, followed by, or include the words “believes,” “estimates,” “expects,” “projects,” “forecasts,” “may,” “will,” “should,” “seeks,” “plans,” “scheduled,” “anticipates,” “intends” or “continue” or similar expressions. Such forward-looking statements involve risks and uncertainties that may cause actual events, results, or performance to differ materially from those indicated by such statements. Palladyne AI assumes no obligation to update such statements. For a discussion of these and other related risks, please refer to the statements set forth in the reports which Palladyne AI has filed or will file from time to time with the Securities and Exchange Commission. Such filings may be obtained free of charge at www.sec.gov.