After a decade of advances in software intelligence, AI is moving into the physical world. The companies below are giving machines bodies — humanoid robots, autonomous drones, and industrial systems that perceive, plan, and act.
From humanoid robots to autonomous drones, these companies are at the cutting edge of AI-powered robotics.
NVIDIA
Santa Clara, United States
NVIDIA is the world leader in AI computing hardware and software. Creator of CUDA, cuDNN, and the dominant GPU platform for AI training and inference.
Tesla AI
Palo Alto, United States
Tesla AI engineers end-to-end neural networks powering its Autopilot driver-assistance system and the development of its Full Self-Driving (FSD) capability, utilizing a massive fleet-collected dataset for training and validation. Key innovations include advanced computer vision based on video prediction and a data-centric approach to AI model improvement, exemplified by the recent move to fully convolutional networks for FSD. Beyond automotive applications, Tesla AI is developing Optimus, a general-purpose humanoid robot intended for automated tasks, leveraging similar AI infrastructure and computer vision techniques.
John Deere AI
Moline, United States
John Deere AI develops intelligent solutions for agricultural and construction equipment, most notably its autonomous 8R and 9R tractor platforms and the See & Spray™ Ultimate technology. Utilizing computer vision and machine learning, See & Spray™ selectively identifies and targets weeds in-season, reducing herbicide use by up to 80%. These innovations are targeted towards large-scale agricultural operations seeking to improve efficiency, reduce input costs, and promote sustainable farming practices, and have earned John Deere recognition for its advancements in precision agriculture technology.
ABB Robotics
Zurich, Switzerland
ABB Robotics is a leading Swiss supplier of industrial and collaborative robots, autonomous mobile robots (AMRs), and associated automation solutions. Their technology integrates AI-powered software with a comprehensive robot portfolio – including 6-axis, Delta, SCARA, and paint robots – to optimize processes across a range of applications like material handling, assembly, and palletizing. Targeting industries including automotive, electronics, logistics, and increasingly healthcare & construction, ABB Robotics delivers increased efficiency, flexibility, and resilience for manufacturing and beyond.
FANUC
Oshino, Japan
FANUC is a Japanese multinational corporation specializing in factory automation solutions, including industrial robots, CNC systems, and related technologies. They integrate AI and IoT capabilities into their core product lines – FA (factory automation), Robots, and Robomachines – to enhance efficiency and performance for manufacturing processes. FANUC primarily serves a global industrial market, offering a unique value proposition through lifetime product support and a commitment to long-term automation solutions.
Symbotic
Wilmington, United States
Symbotic develops end-to-end warehouse automation systems utilizing a fleet of fully autonomous robots and AI-powered software. Their technology orchestrates a high-density robotic system to improve efficiency, speed, and flexibility within warehouse operations. Symbotic targets large-scale consumer goods distributors and retailers seeking to address labor challenges, reduce operating costs, and optimize inventory management within increasingly complex supply chains.
Cruise
San Francisco, United States
Cruise developed autonomous-vehicle technology and operated a robotaxi service. In December 2024 majority owner GM ended funding for Cruise's robotaxi business and folded the team into GM to focus on driver-assistance and personal-vehicle autonomy; GM took full ownership in 2025.
Autostore
Nedre Vats, Norway
AutoStore provides ultra-dense automated storage and retrieval systems (AS/RS) for large-scale warehousing and fulfillment operations. Their core technology utilizes a grid-based, goods-to-person robotic system that optimizes storage density and throughput within a cubic layout. Targeting e-commerce companies and third-party logistics providers, AutoStore offers a scalable solution designed to maximize space utilization – reportedly quadrupling capacity – and achieve consistently high uptime (99.8%).
UiPath
New York, United States
UiPath provides a platform for enterprise automation, combining Robotic Process Automation (RPA) with AI-powered agentic automation capabilities. Their core technology utilizes AI agents to automate complex, end-to-end business processes, extending beyond traditional task-based RPA. UiPath targets large organizations seeking to improve operational efficiency and accelerate AI transformation by freeing employees from repetitive tasks and enabling focus on higher-value work.
Cognex
Natick, United States
Cognex Corporation develops and deploys machine vision systems and industrial barcode readers that automate manufacturing processes. Their core technology centers on deep learning-powered image analysis for quality inspection, defect detection, and robotic guidance. Cognex primarily serves the global manufacturing sector, offering solutions that improve production efficiency and reduce errors across industries like automotive, electronics, and food & beverage.
Frequently asked questions
What is "physical AI"?
Physical AI refers to artificial intelligence embodied in machines — robots and autonomous systems that sense their environment and take real-world actions, as opposed to purely software-based AI.
Are humanoid robots commercially viable yet?
Several companies have moved humanoids from research demos into pilot deployments in warehouses and factories, though broad commercial scale remains an active frontier.
How is AI changing robotics?
Modern foundation models let robots generalize across tasks rather than being hand-programmed for one job, dramatically reducing the cost of teaching new behaviors.
Which sectors adopt AI robotics first?
Logistics, manufacturing, and warehousing lead adoption because repetitive, structured tasks offer the clearest return on automation investment.