The Robot Report

  • Home
  • News
  • Technologies
    • Batteries / Power Supplies
    • Cameras / Imaging / Vision
    • Controllers
    • End Effectors
    • Microprocessors / SoCs
    • Motion Control
    • Sensors
    • Soft Robotics
    • Software / Simulation
  • Development
    • Artificial Intelligence
    • Human Robot Interaction / Haptics
    • Mobility / Navigation
    • Research
  • Robots
    • AGVs
    • AMRs
    • Consumer
    • Collaborative Robots
    • Drones
    • Humanoids
    • Industrial
    • Self-Driving Vehicles
    • Unmanned Maritime Systems
  • Business
    • Financial
      • Investments
      • Mergers & Acquisitions
      • Earnings
    • Markets
      • Agriculture
      • Healthcare
      • Logistics
      • Manufacturing
      • Mining
      • Security
    • RBR50
      • RBR50 Winners 2025
      • RBR50 Winners 2024
      • RBR50 Winners 2023
      • RBR50 Winners 2022
      • RBR50 Winners 2021
  • Resources
    • Automated Warehouse Research Reports
    • Digital Issues
    • eBooks
    • Publications
      • Automated Warehouse
      • Collaborative Robotics Trends
    • Search Robotics Database
    • Videos
    • Webinars / Digital Events
  • Events
    • RoboBusiness
    • Robotics Summit & Expo
    • DeviceTalks
    • R&D 100
    • Robotics Weeks
  • Podcast
    • Episodes
  • Advertise
  • Subscribe

LEA walks tall with machine learning, predictive maintenance, and NLP

By Sponsored Content | October 8, 2019

How Robot Care System uses cloud computing to enhance its LEA smart walker

A walker is a simple tool, designed to provide support and balance for people with ambulatory and balance difficulties. But what if a walker could talk to you, detect falls, and intelligently avoid hazardous obstacles — all while powered by cloud computing? That’s the idea behind Robot Care System’s Lean Empowering Assistant, or LEA.

LEA is a smart walker designed to improve mobility and independence for individuals with diseases like Parkinson’s or who are at risk of falling. Robot Care Systems is now making the second generation of LEA more efficient, smarter, and more powerful, thanks to the tools provided by Amazon Web Services (AWS).

The first generation of LEA featured over 70 sensors and could do things like automatically adjust for balance, call family and friends, encourage exercise, and set medication reminders. As advanced as this device was, it was limited in its computing power. As a result, utilizing machine learning models, predicting maintenance needs, and processing voice commands were far beyond LEA’s onboard computing system’s capacity.

However, these capabilities were high on customers’ wish lists of features. By adopting AWS cloud services and building robotics applications with AWS RoboMaker, Robot Care Systems can now deliver these and other advanced features to customers.

LEA gets smarter with ROS, RoboMaker, and the cloud

AWS RoboMaker works by providing cloud extensions for Robot Operating System (ROS) and allows users to develop, test, simulate, and deploy advanced robotics applications. With RoboMaker, the second-generation LEA will be more intuitive, safer, and more efficient for customers to use.

Adopting cloud computing will allow developers to manage data from all LEA robots for machine-learning model training. This information processing will help increase the scale and speed at which their robots can learn from each other and function better for customers.

In addition, RoboMaker allows Robot Care Systems to create managed robotics simulations, in which developers can test and evaluate how their robots will behave in certain situations. These simulations are conducted virtually via the Web console, thus saving the time, cost, and operational burden of having to physically deploy, test, and capture data from additional robots.

Migrating to cloud computing will help Robot Care Systems grow its current fleet from 100 domestic robots to more than 10,000 across the globe. Also, maintaining robots becomes easier in the cloud. The current state of maintenance operations requires on-site visits by human technicians, but with updated cloud-supported fleet management, the group can receive diagnostic alerts and push out bug fixes and software updates remotely.

Behind the scenes, RoboMaker alone is not powering LEA’s increased computing power. Switching to the AWS cloud opens up the possibilities to incorporate hundreds of other features and services into a robotics application. The next generation of LEA uses other AWS services such as SageMaker, Lex, Polly, and Rekognition to add and test even more features.

Amazon Lex and Polly will be used to test and deploy a natural language processing (NLP) voice interface for LEA, giving the device a new way to interact with users. Meanwhile, SageMaker, a machine learning program, will help Lea better identify risk factors for users by improving movement and behavior detection. AWS RoboMaker opens the door for innovation, with access and compatibility to a variety of innovative AWS services.

Robot Care System is one example of how a company has been able to evolve and enhance its product via cloud computing and AWS RoboMaker, with other companies following suit. Companies are deploying robotic arms, drones, and ground robots in innovative ways every day. As the diversity and sophistication of robot applications expand, these breakthroughs demand a high level of intelligence and autonomy. AWS provides the infrastructure and tools to support such innovation.

Learn More About RoboMaker

 

Sponsored content by AWS.

Comments

  1. Fred Houghton says

    November 7, 2019 at 11:37 am

    I work at a nursing home in Nova Scotia, Canada – Does your organization have any knowledge of robots being utilized in a nursing home environment to transfer residents from bed to chair and back to bed.

    Reply

Tell Us What You Think! Cancel reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Related Articles Read More >

Sager Electronics and its partners, logos shown here, will exhibit at the 2025 Robotics Summit & Expo.
Sager Electronics to exhibit at the Robotics Summit & Expo
The Shift in Robotics: How Visual Perception is Separating Winners from the Pack
An AutoStore automated storage and retrieval grid.
Webinar to provide automated storage and retrieval adoption advice
Smaller, tougher devices for evolving demands

RBR50 Innovation Awards

“rr
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, tools and strategies for Robotics Professionals.
The Robot Report Listing Database

Latest Episode of The Robot Report Podcast

Automated Warehouse Research Reports

Sponsored Content

  • Sager Electronics and its partners, logos shown here, will exhibit at the 2025 Robotics Summit & Expo. Sager Electronics to exhibit at the Robotics Summit & Expo
  • The Shift in Robotics: How Visual Perception is Separating Winners from the Pack
  • An AutoStore automated storage and retrieval grid. Webinar to provide automated storage and retrieval adoption advice
  • Smaller, tougher devices for evolving demands
  • Modular motors and gearboxes make product development simple
The Robot Report
  • Mobile Robot Guide
  • Collaborative Robotics Trends
  • Field Robotics Forum
  • Healthcare Robotics Engineering Forum
  • RoboBusiness Event
  • Robotics Summit & Expo
  • About The Robot Report
  • Subscribe
  • Contact Us

Copyright © 2025 WTWH Media LLC. All Rights Reserved. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media
Privacy Policy | Advertising | About Us

Search The Robot Report

  • Home
  • News
  • Technologies
    • Batteries / Power Supplies
    • Cameras / Imaging / Vision
    • Controllers
    • End Effectors
    • Microprocessors / SoCs
    • Motion Control
    • Sensors
    • Soft Robotics
    • Software / Simulation
  • Development
    • Artificial Intelligence
    • Human Robot Interaction / Haptics
    • Mobility / Navigation
    • Research
  • Robots
    • AGVs
    • AMRs
    • Consumer
    • Collaborative Robots
    • Drones
    • Humanoids
    • Industrial
    • Self-Driving Vehicles
    • Unmanned Maritime Systems
  • Business
    • Financial
      • Investments
      • Mergers & Acquisitions
      • Earnings
    • Markets
      • Agriculture
      • Healthcare
      • Logistics
      • Manufacturing
      • Mining
      • Security
    • RBR50
      • RBR50 Winners 2025
      • RBR50 Winners 2024
      • RBR50 Winners 2023
      • RBR50 Winners 2022
      • RBR50 Winners 2021
  • Resources
    • Automated Warehouse Research Reports
    • Digital Issues
    • eBooks
    • Publications
      • Automated Warehouse
      • Collaborative Robotics Trends
    • Search Robotics Database
    • Videos
    • Webinars / Digital Events
  • Events
    • RoboBusiness
    • Robotics Summit & Expo
    • DeviceTalks
    • R&D 100
    • Robotics Weeks
  • Podcast
    • Episodes
  • Advertise
  • Subscribe