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The robotics and automation industry is experiencing robust growth, driven by advancements in AI, sensor technology, and increased adoption across manufacturing, logistics, and service sectors. Demand for autonomous solutions like AMRs and cobots is high, pushing innovation in perception and navigation. Supply chain resilience and labor shortages further accelerate this trend.
Total Assets Under Management (AUM)
Robotics Market Size in United States
~34.6 billion USD (2023)
(13.6% CAGR)
- Growing demand for automation in manufacturing and logistics.
- Increasing adoption of AI and machine learning in robotic systems.
- Expansion of service robots in healthcare and hospitality.
34.6 billion USD
Generative AI models are being used to autonomously design robot morphologies, optimize control algorithms, and create synthetic training data for complex robotic tasks, accelerating development cycles.
Advancements in haptic sensors and grippers are enabling robots to perform highly delicate and precise manipulation tasks, mimicking human dexterity and tactile sensitivity.
Integrating powerful AI processing capabilities directly onto robotic hardware allows for real-time perception, decision-making, and reduced latency, crucial for autonomous operation in dynamic environments.
Published by the National Institute of Standards and Technology, this framework provides voluntary guidance for managing risks associated with artificial intelligence, focusing on trustworthy and responsible development and use.
This framework encourages DreamVu and its customers to integrate ethical considerations and risk management into their AI-powered vision systems, potentially influencing design and validation processes.
While not a new regulation, OSHA continues to enforce and update guidelines on robotic safety in workplaces, often issuing hazard alerts and emphasizing existing standards like ANSI/RIA R15.06-2012 for industrial robots and robot systems.
Increased OSHA scrutiny means DreamVu's vision systems that enhance safety (e.g., human detection, obstacle avoidance) become even more critical for customers to comply with workplace safety standards and reduce liabilities.
Various US states are passing legislation to regulate the testing and deployment of autonomous vehicles, including definitions for operational design domains and requirements for safety reporting, which often encompass autonomous mobile robots.
These state-level policies influence the design and performance requirements for DreamVu's vision systems used in AMRs, particularly regarding object detection accuracy and reliability for safe autonomous navigation.
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