Easo 2.0
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About
Emancro's EASO 2.0 is an AI-powered, general-purpose robotic system initially designed to alleviate labor shortages in hospital pharmacies. It automates tasks like restocking medication cabinets and anesthesia stations, manages inventory, scans barcodes and OCRs expiration dates. Its features include 24/7 operation, item-level counting, expiration date tracking, and waste reduction. Emancro's broader vision is to utilize this technology across various hospital departments, improving logistical efficiency, reducing waste, and enhancing patient care. The system integrates with existing hospital infrastructure, requiring only Wi-Fi and charging stations.
Platform
Features
• 24/7 operation
• inventory management
• expiration date tracking
• waste reduction
• automatic item restocking
• item-level counting
• empower workforce
• integrated barcode-scanning and ocr for expiration date reading
FAQs
How does support look like for the Emancro Robot System?
Emancro offers complete robotic solutions sold as an annual subscription, including 365-day live support and remote monitoring.
How does the robot’s productivity compare to a human technician?
The robot's speed is influenced by factors like travel speed (faster than technicians), AI-powered counting/barcode reading (instantaneous vs. human input), and pick-and-place speed (slightly slower, but improving).
How long does the robot’s battery last?
The battery lasts 13-20 hours depending on use. Two robots guarantee 100% uptime.
Can the robot open doors?
Yes, it operates electric doors (by pressing buttons or waving) but not manual doors yet (work in progress). It also operates elevators.
Is EASO 1.0 available for lease or purchase?
Currently piloting with select hospitals. Inquire on the contact page for pilot interest.
What does it take to set up EASO in our hospital?
Emancro staff visits, analyzes data to pre-train AI models, tests on-site, and deploys a fleet after reliable task completion.
What if the robot gets stuck or is unable to complete a task?
In case of failure, the Emancro control center is alerted and remotely operates the robot to restore functionality, ensuring 100% uptime.
Can I use existing medication trays and tray carts?
Yes, as long as they are standard sizes (like Pyxis and Omnicell Anesthesia stations). Emancro provides compatible carts.
Can I use existing shelves that the robot can pull items from?
Emancro will provide new shelves, offering the same or more storage space.
How does the robot know which trays to restock?
The robot checks for new trays via QR codes and restocks automatically. Manual requests are also possible via the Emancro WebApp.
How long does it take to prepare a medication tray?
Restocking a tray with 10-20 items takes about 5-10 minutes.
Will the robot be able to enter and work in a medication room with tight dimensions?
EASO 1.0 (2 feet diameter) fits in most medication rooms and can navigate tight spaces. Emancro staff can verify compatibility with hospital floor plans.
Will the robot get in the way of nurses and other medical staff?
Restocking usually happens during off-peak hours. A move-away button lets staff interrupt the robot, which then resumes after a set time.
How long does it take to restock a medication cabinet?
Restocking a cabinet with around 50 items takes approximately 20-30 minutes.
How does the robot authenticate with the Medication Cabinet?
The robot will use electronic authentication (not yet implemented in the pilot). Currently, it uses its finger to type the password.
Job Opportunities
Senior Machine Learning Operations and Data Engineer
AI-powered hospital robot automating pharmacy workflows, improving efficiency and reducing labor shortages.
Benefits:
Significant stock options
Health and dental insurance included
401(k) retirement plan included
Experience Requirements:
5 years
Other Requirements:
Expert knowledge of using and configuring GCP (Vertex), AWS, Azure
Python: 5+ years of experience
Machine Learning libraries: Pytorch, Jax, model and data parallelism
Development tools: Bash, Git
Data Science frameworks: Databricks
Agile Software development
Cloud Management: Slurm, Kubernetes
Data Logging: Weights and Biases
Orchestration, Autoscaling: Ray, ClearnML, WandB etc
Responsibilities:
Design, develop, and maintain scalable data pipelines and ETL processes to extract, transform, and load data at large scale (in the order of 100sTB)
Setting up and maintaining cloud-database (e.g. DynamoDB, Postgres etc.)
Manage containerized environments (e.g., Docker, Kubernetes) for running machine learning workloads.
Setting up and Maintaining Cloud multi-GPU training infrastructure (GCP, AWS, Azure) with Pytorch and Jax, (both model and data parallelism)
Setting up and Maintaining MLOps frameworks, e.g. ClearML, ZenML etc. Implement CI/CD pipelines and automation tools to streamline the model development and deployment process. Deploying ML Models on the cloud for low-latency production/serving
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Senior Robotics Software Engineer
AI-powered hospital robot automating pharmacy workflows, improving efficiency and reducing labor shortages.
Benefits:
$170-185k/year
Significant stock options
Health and dental insurance included
401(k) retirement plan included
Experience Requirements:
4-5 years
Other Requirements:
Extensive C++ (>5 years) and python (>5 years) software engineering experience
Extensive experience writing and debugging of ROS/ROS2, writing Rviz plugins
Experience with CUDA and TensorRT
Experience deriving robot arm and mobile base kinematics and inverse kinematics
Understanding of motion planning algorithms for arm motion planning and robot navigation
Expert-level understanding of 3D geometry, transformations, rotations, quaternions etc.
Experience with Cloud Infrastructure (Google Cloud Platform, AWS, cloud databases, etc.)
>3 years experience architecting and writing complex production quality software
Git
Agile Software development
Responsibilities:
Develop controllers, motion planning algorithms, and teleoperation infrastructure for robot arms and mobile bases
Optimize performance and run-time of robotics- and computer vision algorithms
Set up data processing pipelines and cloud database for storing robot logs
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