In this Machine Design article, insights from Arthur Bellamy, chief revenue officer at Exotec, highlight a notable shift in robotics for 2026, one where software and practical artificial intelligence shape machine design and deployment more than raw hardware alone. Exotec, known for its warehouse automation solutions and global fleet of more than 10,000 robots, argues that today’s automation landscape is defined by systems that adapt to changing conditions and integrate seamlessly with broader operations rather than rigid, fixed hardware sets.
A major theme is that software now leads the automation stack. Where robots once followed predetermined instructions, next-generation systems use intelligent software to reconfigure themselves in real time, optimize flow, and respond to fluctuations in warehouse activity. This transition marks a departure from traditional automation technologies such as conveyors, which require fixed infrastructure and often limit flexibility. Software-defined autonomy enables facilities to scale more efficiently, an important advantage amid tariffs and supply chain volatility.
Practical AI also plays a growing role. AI-enabled perception lets robots better interpret their surroundings, improving safety and decision-making. Visual and sensor-based algorithms help machines avoid obstacles, recognize items, and manage traffic within facilities, bringing warehouse automation closer to human-like situational awareness in complex environments.
Another evolution involves closer integration between hardware providers and system integrators. Instead of selling components that require extensive third-party customization, vendors increasingly deliver integrated solutions that combine robotics hardware with the software and deployment expertise customers need. This trend shortens adoption cycles and reduces the burden on facilities to assemble disparate systems themselves.
Bellamy’s perspective reflects broader market dynamics: demand for adaptable, software-centric robotic systems is rising alongside expectations for real-world AI performance. In 2026, practical intelligence and reconfigurable automation are reshaping how robots function on the floor, signaling a maturation of robotics from scripted machines to responsive partners in industrial workflows.