At CES 2026, Doosan Bobcat Inc. brought attention to the evolving landscape of construction equipment by presenting the Bobcat RogueX3 (RX3) concept loader and a suite of AI-powered technologies. Attendees experienced hands-on demonstrations and saw how automation, electrification, and artificial intelligence are increasingly featured in core construction products. The RX3 prototype, with its compact frame and modular engineering, was designed to meet shifting demands in a field struggling with workforce shortages and expectations for higher productivity. These new developments reflect a growing trend in the industry where technology is becoming a key part of daily operations, aiming to simplify processes for businesses both large and small.
Earlier news about Doosan Bobcat’s equipment highlighted steps toward electric and semi-autonomous machines, but CES 2026 revealed tangible progress with more advanced features and broader applicability. Previous product announcements mainly focused on powertrain alternatives or remote control, while the latest initiatives introduced at CES included a wider variety of AI, safety, and support tools. Earlier reports showed limited field deployments and trials, but the current demonstrations indicate practical offerings edging closer to standard jobsite use. Coverage also noted increasing industry partnerships—this year, the collaboration with Agtonomy emphasizes Bobcat’s interest in agricultural automation as well.
How Flexible is the RX3 Concept Loader?
Doosan Bobcat designed the RX3 loader to allow operators broad customization, offering options such as interchangeable cabs, tracks or wheels, varied lift arm configurations, and multiple power sources such as electric, diesel, hybrid, or hydrogen. This modular approach helps adapt the machine for various tasks and terrains, while maintaining a form factor akin to traditional Bobcat machines. The RX3’s adaptability aligns with construction industry trends toward multipurpose, scalable equipment, further supported by its integration of autonomy for both remote and site-based applications.
What New AI Features Did Bobcat Announce?
Alongside hardware, Doosan Bobcat introduced the Bobcat Jobsite Companion, which uses a proprietary large language model to support operators with real-time voice and display assistance. The system manages over fifty automated functions directly on the machine, without the need for external cloud connections, which could benefit locations with restricted connectivity. As Joel Honeyman, vice president of global innovation at Doosan Bobcat, explained,
“Jobsite Companion lowers the barrier to entry for new operators while helping experienced professionals work faster and more precisely.”
This feature aims to boost efficiency and operator safety by providing expert guidance from within the operator’s cab.
What Other Innovations Were Presented at CES 2026?
The event also featured new safety measures and support tools, such as a radar-based collision warning and avoidance system for compact equipment. Furthermore, Doosan Bobcat showcased a transparent MicroLED display for in-cab use, overlaying camera views and performance data directly onto windows. The Bobcat Standard Unit Pack (BSUP) provides a modular battery solution designed to withstand construction environments, while the Service.AI platform offers technicians real-time access to repair manuals and diagnostic resources. These innovations collectively indicate a shift toward integrating digital solutions with traditional construction tasks.
Doosan Bobcat’s industry partnerships were further displayed with its collaboration with Agtonomy, bringing AI perception and fleet management to Bobcat tractors for agriculture, and the company has continued to expand its role in robotics and automation. Scott Park, vice chairman and CEO of Doosan Bobcat, stated,
“Today, as workforce needs change and jobsites become more complex, we’re responding with intelligent systems that empower people to accomplish more, faster, and smarter.”
Their presence in Las Vegas also extended to Doosan Robotics, where a variety of AI-powered robotic systems were demonstrated, reinforcing the commitment to both construction and adjacent markets.
Advancements in autonomous and AI-driven construction equipment not only address productivity but also safety and scalability, allowing companies to deploy machinery suited for diverse operational requirements. For stakeholders evaluating such technologies, the key factors to consider include compatibility with existing fleet, the practical benefits of modularity, simplicity of on-site support, and the readiness of AI-enabled operator aids. With regulatory bodies and labor organizations increasingly scrutinizing the safety and impact of autonomous equipment, real-world trials and customer feedback will play a critical role in adoption. Understanding how these systems perform in various conditions will help firms make informed investment decisions, ensuring equipment fits operational needs while supporting sustainability and workforce development.
