RevoFi for Robotics
The Intelligent Edge for Smarter Machines
The Gap Between AI Capability and Real-World Deployment
Modern robotics—whether warehouse AMRs, delivery drones, or industrial cobots—need sophisticated AI to navigate, perceive, and make decisions. But building and deploying this intelligence is extraordinarily difficult.
Cloud Latency Creates Danger
When robots send video to the cloud and wait for instructions, even 100-200ms of latency can mean a collision, missed pickup, or safety incident. Real-world robotics demand real-time response.
Unpredictable Connectivity
Warehouses have dead zones. Construction sites lack infrastructure. Agricultural fields have no coverage. When WiFi drops, cloud-dependent robots stop working.
Indoor Positioning is Complex
GPS doesn't work indoors. Traditional alternatives—UWB beacons, visual SLAM, LiDAR mapping—require significant hardware, complex calibration, and ongoing maintenance.
Camera Limitations
Cameras can't see through walls or around corners. They fail in poor lighting, dust, or steam. Many facilities restrict cameras for privacy or regulatory reasons.
AI Talent is Scarce
Building, training, and deploying custom computer vision models requires specialized ML engineers that most robotics companies cannot afford—or cannot hire fast enough.
Data Privacy & Sovereignty
Sending video feeds of factory floors, inventory, or operations to third-party clouds creates security and compliance risks many enterprises cannot accept.
How RevoFi Solves This
RevoFi delivers edge AI infrastructure purpose-built for robotics—processing AI workloads where they need to happen, providing connectivity that never drops, and enabling environmental awareness through both camera-based and camera-free sensing.
Local Intelligence, Instant Decisions
RevoFi's Link devices contain NVIDIA Jetson processors with 128 CUDA cores, enabling real-time computer vision directly at the edge. Video never leaves the local network. Robots get vision-based guidance in single-digit milliseconds instead of waiting for cloud round-trips.
Never-Drop Connectivity
Link Pro devices combine WiFi 6 mesh, 5G cellular, and satellite connectivity in a single unit. When WiFi fails, cellular takes over. When cellular fails, satellite activates. Robots maintain their AI connection regardless of environment—from well-connected factories to remote outdoor sites.
WiFi-Based Indoor Positioning
RevoFi's Neural Radio technology extracts positioning data from WiFi signals themselves. Using Channel State Information (CSI) from the same mesh network that provides connectivity, robots achieve sub-meter localization (47cm accuracy) without GPS, beacons, or additional infrastructure. The WiFi that connects your robots also tells them where they are.
Camera-Free Environmental Awareness
WiFi sensing detects human presence, movement, and activity through walls and around obstacles—places cameras cannot see. Robots gain awareness of their environment without capturing video, enabling safer operations in privacy-sensitive facilities and detecting hazards in blind spots.
Touchless Gesture Control
Workers can control robots with hand gestures detected through WiFi signals, achieving 90%+ accuracy for six distinct gestures. This works regardless of lighting conditions, dust, or visual obstructions—ideal for industrial environments where camera-based gesture recognition fails.
Ultra-Low-Power Distributed Sensing
RevoFi publishes an open-source RNR Client SDK for popular embedded platforms (ESP-IDF, Zephyr, Arduino). Developers can integrate Neural Radio capabilities into any compatible hardware. For plug-and-play deployments, RevoFi Certified Firmware provides tested, supported images for select platforms—flash a $5 ESP32 and connect to the Neural Radio network in minutes. Deploy hundreds of peripheral sensors throughout a facility that detect obstacles, monitor conditions, or track assets—all feeding intelligence to your robot fleet without battery replacement or wired power.
AI Without the AI Team
RevoFi's "prompt-to-reality" platform lets operators describe what they need in plain language: "Track forklifts and alert when they enter Zone 3" or "Count boxes on conveyor belt and flag anomalies." The system creates, deploys, and manages the AI models automatically—no machine learning engineers required.
Privacy-First Processing
All video and sensor analysis happens locally on the RevoFi edge device. Raw data stays within the facility. Only aggregated insights—counts, alerts, classifications—travel to management dashboards. Enterprises maintain full control of sensitive operational data.
RevoFi Features for Robotics
| Feature | What It Means for Robotics |
|---|---|
| NVIDIA Jetson Edge Compute | Hardware-accelerated AI inference for real-time object detection, path planning, and collision avoidance |
| WiFi CSI Indoor Positioning | Sub-meter robot localization (47cm accuracy) without GPS, beacons, or additional hardware—using the same network that provides connectivity |
| Camera-Free Presence Detection | Sense humans through walls and around corners via WiFi signals; enable safer human-robot collaboration without privacy-invasive cameras |
| WiFi Gesture Recognition | 90%+ accuracy touchless control that works in dust, darkness, and harsh industrial conditions where cameras fail |
| Self-Healing WiFi 6 Mesh | Seamless coverage across large facilities with automatic failover between nodes—no dropped connections when robots move |
| 5G + Satellite Connectivity | Operations continue in outdoor, remote, or infrastructure-limited environments where robots need to work |
| RF Inference Broadcasting | Enable ultra-low-power ESP32 sensors to perform AI at microwatt power levels—ideal for robot swarms and distributed sensing |
| NVIDIA DeepStream Integration | Enterprise-grade video analytics pipeline optimized for robotics: tracking, counting, classification |
| Prompt-to-Reality AI Creation | Deploy custom AI solutions through conversation—describe the problem, receive a working solution |
| Hybrid Edge/Cloud Architecture | Light workloads process on-device; heavy computation offloads seamlessly to RevoFi's A100 GPU cloud |
| Enterprise-Grade Security | Built-in firewall, encrypted communications, zero data exfiltration on private networks |
| Fleet Management Portal | Monitor all edge devices and robot operations from a unified dashboard |
Benefits for Robotics Operations
Faster Robot Response
Reduce AI decision latency from 100-200ms (cloud) to under 10ms (edge). Robots react to obstacles, targets, and instructions in real-time.
Precise Indoor Navigation
Sub-meter positioning without GPS infrastructure. Robots know exactly where they are using the same WiFi network that connects them.
Safer Human-Robot Collaboration
WiFi sensing detects humans in blind spots, behind equipment, and through walls. Robots respond to gestures naturally without cameras.
Higher Uptime
Multi-path connectivity eliminates network-dependent failures. Robots stay operational even when primary connectivity drops.
Lower Total Cost
Eliminate separate localization infrastructure. Deploy distributed sensing with low-cost commodity hardware and open SDK. AI compute at ~50% below traditional cloud providers.
Faster Deployment
Go from concept to working AI in days, not months. Describe your use case in natural language and deploy directly to your fleet.
Use Case Examples
Distribution Center Intelligence
A distribution center deploys Link devices throughout their facility. AMRs leverage edge AI for real-time navigation and pallet detection, while WiFi CSI positioning provides sub-meter localization without GPS or beacons. WiFi sensing detects workers in aisles around corners, automatically slowing robots before they reach blind intersections.
Outdoor Delivery Robots
A last-mile delivery company equips their sidewalk robots with Link Pro connectivity. When robots move between WiFi coverage zones, 5G cellular maintains continuous AI guidance. In rural areas, satellite connectivity ensures the robot always finds its way home.
Collaborative Robot Safety
A factory deploys RevoFi to monitor collaborative robot operations. WiFi sensing detects when human workers enter a cobot's workspace without requiring cameras—addressing union and privacy concerns. Workers control robots with hand gestures that work even in the dusty, dimly-lit production floor where camera-based recognition fails.
Robot Swarm Coordination
A logistics company deploys 50 small mobile robots coordinated by distributed intelligence. RevoFi Micro base stations broadcast AI models to hundreds of ESP32 sensors deployed throughout the facility, creating a mesh of environmental awareness at microwatt power levels. Robots receive obstacle alerts, traffic flow guidance, and coordination signals through the RF broadcast infrastructure.
Hospital Robotics
A hospital deploys delivery and disinfection robots that must navigate around patients and staff without camera surveillance in sensitive areas. WiFi sensing provides presence detection and activity recognition in patient rooms and corridors, enabling safe robot operation while maintaining patient privacy.
The Intelligent Edge for Robotics
RevoFi bridges the gap between powerful AI and practical deployment. Instead of choosing between cloud capability and edge performance, robotics companies get both—intelligent edge processing backed by cloud-scale compute, all accessible through natural language.
What makes RevoFi unique: the same infrastructure that provides connectivity also provides positioning, environmental awareness, and distributed sensing. One platform replaces separate systems for WiFi, localization, camera-based vision, and peripheral sensors.
Robots that think faster, work anywhere, know where they are, and sense what they can't see.
Deploy in days instead of months.
Ready to talk about your robotics deployment?
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U.S. Patent No. 12,293,359