Robots operating in real-world environments must continuously perceive their surroundings, understand context, navigate freely and interact safely and naturally with people and objects in their vicinity. AI enables robots to interpret complex visual and sensor data, adapt to dynamic environments, and move beyond scripted behavior toward more flexible and intelligent operation
Robotic systems require real-time response, high reliability, and predictable behavior. In combination with low-latency requirements, bandwidth limitations, and privacy concerns robotics make local, high-performance AI processing essential, especially for mobile robots and systems operating in industrial, commercial, or public environments in tandem or in close proximity to people. Power efficiency is also critical, particularly for battery-operated robots.
Hailo’s AI processors power physical AI in robotics, enabling perception, reasoning, navigation and interaction to run locally with low latency, low power, high efficiency, and predictable performance.
Enables fast perception and decision-making for responsive robot behavior
Efficiently accelerates vision, sensor fusion, and reasoning stages on a single platform
with excellent performance per watt Hailo maximizes uptime for mobile and battery-powered robots
Supports a wide range of robotic platforms, from compact service robots to industrial systems
Robotic perception is inherently multi-modal, combining vision (camera) with additional sensors such as depth, IMUs, and lidar to build an accurate understanding of the environment. AI is required to detect objects, estimate depth & motion, and enable indoor navigation in dynamic and cluttered spaces where traditional localization methods like GPS fall short.
These workloads are latency-sensitive and bandwidth-intensive, making edge execution essential. Hailo accelerates large vision models and sensor-fusion pipelines efficiently, enabling reliable and safe navigation and perception while keeping the robot autonomous, responsive and power-efficient
Voice-to-Action enables seamless human-machine interface, allowing people and robots to interact naturally by converting spoken language into real-world actions. This pipeline typically includes speech-to-text, intent understanding, and decision-making, allowing users to control robots without complex, hardware-based interfaces. Specialized reasoning LLMs can enhance the robot’s ability to perform complex tasks.
Running this pipeline locally ensures low latency, privacy, and reliability, even without network connectivity. Hailo enables highly efficient execution of Whisper-class speech models and small LLMs at the edge, supporting agentic and physical AI capabilities that deliver intuitive, real-time human-robot interaction for service robots, industrial automation and assistive systems.
