RoboSense Infinity: BETA TESTING

THIS IS A FREE RESEARCH PREVIEW [1 robot per user]

our software is open-source and can be found on GitHub
we know its going to suck at first, we had to train a lot of our models using synthetic data generated by physics engine 'Genesis', as finding custom tailored datasets for our use cases was a real bear
we welcome any and all feedback; please tell us everything that is wrong, we welcome it as it will improve overall UI/UX for everyone
become a part of our community and contribute to the federated sensor network knowledge base; which will allow us to retrain our models with real-life data

Our goal is to gather external feedback from our community to continuously:

enhance our system,
boost safety and privacy, and
build a federated sensor network where every robot learns from the sensor data and experiences of its peers

System features include:

natural language communication with your robot fleet
real-time decision making deep learning [.keras]
advanced sensor-fusion and vision deep learning [.keras]
self-learning reinforcement
proactive maintenance
energy optimization

Its not going to be perfect at first, but...

together we can consolidate all our sensor data—even the seemingly mundane details like position, velocity, temperature, LiDAR, radar, etc. that most people are comfortable sharing. Our vision is to gather and distribute this data to drive innovation in robotics.

more info: RoboSense Infinity...

RoboSense Infinity fuses real-time decision-making, sensor fusion, and advanced vision into one platform, giving robots instant intelligence. Reinforcement learning, predictive maintenance, and energy optimization ensure minimal downtime and maximum efficiency. Perfect for hobbyists and professionals, it adapts to any robot, saving time, power, and resources. Deploy swiftly, scale effortlessly, and watch your machines transform into agile, self-reliant systems.

Works for all robot/robotic systems:

Real-Time Decision Making: Instantly adapt to changing environments, ensuring safe and optimal robot actions.
Sensor-Fusion & Vision: Combine multi-sensor data with advanced computer vision to enhance situational awareness.

Works only for our current use cases (use cases will be added):

Reinforcement Learning: Continuously improve your robots’ performance with self-learning algorithms.
Predictive Maintenance: Proactively detect and resolve mechanical or operational issues before failures occur.
Energy Efficiency Optimization: Save on power costs and reduce environmental impact across diverse robot fleets.

Our product is an integrated multi-model AI system designed to empower autonomous machines—such as industrial robots, drones, and vehicles—to learn tasks rapidly and operate with minimal human oversight. By fusing data from multiple sensors including vision, motion, and environmental inputs, our platform continuously monitors machine performance, detects anomalies, and optimizes energy usage in real time. This “set-it-and-forget-it” solution not only minimizes downtime and maintenance costs but also enhances safety and overall operational efficiency. Use cases that have been deployed are as follows.

Drone [DRONE]
9 DOF Robotic Arm [9DOF] (experimental)
6 DOF Robotic Arm [6DOF]
Autonomous Warehouse Robot for Logistics & Inventory Management [WAREHOUSE]
Autonomous Delivery Robot for Urban Last-Mile Logistics [URBAN]

What sets us apart is our holistic approach: rather than relying on isolated, pre-programmed systems, we combine advanced machine learning models—ranging from anomaly detection and reinforcement learning to predictive maintenance—into a single, cohesive ecosystem. Our intuitive dashboard presents actionable insights and seamless control, allowing users to focus on their core business while the system adapts and improves autonomously. This innovative blend of cutting-edge AI and user-centric design is paving the way for smarter, more efficient industrial operations.