STIGA PARTNER WITH PHYSICAL A.I COMPANY

STIGA S.p.A. has announced a strategic partnership with US-based technology firm SiMa.ai to integrate advanced artificial intelligence into its robotic lawnmower range.

The agreement will see STIGA adopt SiMa.ai’s low-power machine-learning system-on-chip (MLSoC) platform across its domestic and commercial robotic mower line-up. The aim is to enable real-time decision-making on a platform designed to deliver ultra-low latency (meaning the machine can think and act in near real time) and reduced power consumption.

The manufacturer said the collaboration will provide a "scalable architecture" for its robotic products, supporting more intelligent and adaptive operation without significantly increasing battery demand - a key consideration for consumer and professional machines alike.

SiMa.ai specialises in what it describes as ‘Physical AI’, embedding machine intelligence directly into devices so they can perceive, decide and act independently in real-world environments. Its low-power hardware and software platforms are designed to allow edge devices (self-contained, intelligent machines) to run advanced AI workloads efficiently, without the high energy requirements typically associated with such processing.

Sean Robinson, CEO of STIGA S.p.A., said the partnership would allow the company to “push the boundaries” of autonomous machinery. He added that while STIGA retains control over how its robots sense, decide and operate, SiMa.ai’s technology enables those functions to be delivered with significantly lower power consumption.

According to the companies, the result will be lighter, more efficient robotic mowers capable of delivering greater performance from the available battery capacity. They also claim the approach will improve precision, responsiveness and overall operational efficiency.

Krishna Rangasayee, founder and CEO of SiMa.ai, described the agreement as a major step forward in bringing practical AI capability to edge devices, removing much of the complexity traditionally associated with deploying AI in consumer products.