SiMa.ai and STIGA S.p.A. have formed a Physical AI partnership to enhance robotic lawn mowers with intelligent, low-power edge computing. The collaboration focuses on delivering real-time decision-making capabilities across STIGA’s domestic and commercial product lines.
As a result, STIGA strengthens its leadership in autonomous garden equipment by embedding advanced AI directly into its machines.
Bringing Edge Intelligence to Robotic Lawn Mowers
STIGA is widely recognized for combining engineering precision with practical design. Through this new collaboration, the company will integrate SiMa.ai’s ultra-low-latency platform into its robotic mower portfolio.
Physical AI allows machines to perceive their environment, process data instantly, and act independently. Therefore, robotic lawn mowers can operate with greater adaptability, responsiveness, and efficiency in real-world conditions.
Low-Power AI Built for Battery-Operated Devices
One of the key advantages of this partnership is energy efficiency. SiMa.ai develops machine-learning system-on-chip (MLSoC) platforms designed specifically for edge devices.
Because robotic lawn mowers rely on battery power, minimizing energy consumption is essential. Consequently, SiMa.ai’s architecture delivers high-performance AI workloads without excessive power draw.
Krishna Rangasayee, Founder and CEO of SiMa.ai, explained that the collaboration simplifies edge AI deployment. By combining optimized hardware and software, STIGA can scale intelligent capabilities across its full product range.
Enhancing Performance and Autonomy
With integrated sensing and real-time processing, STIGA’s robotic lawn mowers will achieve more accurate navigation and smarter operational control. In turn, this improves precision and overall productivity.
Sean Robinson, CEO of STIGA S.p.A., noted that innovation drives the company’s strategy. While STIGA leads in robotic sensing and operational expertise, SiMa.ai provides the efficiency needed to maximize battery performance. The outcome is lighter, more cost-effective, and intelligent equipment.
Shaping the Future of Smart Outdoor Equipment
This agreement signals a broader shift toward embedded intelligence in consumer and commercial machinery. By combining advanced robotics with efficient edge AI processing, the two companies aim to set a new benchmark for smart outdoor devices.
Ultimately, customers benefit from improved battery life, enhanced responsiveness, and greater reliability. The collaboration also demonstrates how next-generation AI platforms can transform autonomous equipment without compromising energy efficiency.
Overall, the partnership highlights the growing role of Physical AI in real-world applications and reinforces both companies’ commitment to engineering-driven innovation.
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