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

Algorithm evaluates military robots ability to get up after falling

By The Robot Report Staff | August 28, 2018


military robots

Dr. Chad Kessens develops innovative ideas for military robots at the US Army Research Lab (Credit: US Army Research Lab)

Scientists at the US Army Research Laboratory (ARL) and the Johns Hopkins University Applied Physics Laboratory (JHU) have developed software to ensure that if a robot falls, it can get itself back up. This means future military robots will be less reliant on their soldier handlers.

Based on feedback from soldiers at an Army training course, ARL researcher Dr. Chad Kessens began to develop software to analyze whether any given robot could get itself “back on its feet” from any overturned orientation.

“One soldier told me that he valued his robot so much, he got out of his vehicle to rescue the robot when he couldn’t get it turned back over,” Kessens said. “That is a story I never want to hear again.”

Related: How machine learning is making mobile robots more reliable for soldiers

Researchers from Navy PMS-408 (Expeditionary Missions) and its technical arm, the Indian Head Explosive Ordnance Disposal Technology Division, agree. They teamed up with JHU/APL and the prime contractor, Northrop Grumman Remotec, to develop the Advanced Explosive Ordnance Disposal Robotic System, or AEODRS, a new family of EOD robotic systems featuring a modular opens systems architecture. A lightweight backpackable platform, which is increment one of the program, is expected to move into production later this year. One critical requirement of the program is that the military robots must be capable of self-righting.

“These robots exist to keep soldiers out of harm’s way,” said Reed Young, Robotics and Autonomy Program Manager at JHU/APL. “Self-righting is a critical capability that will only further that purpose.”

To evaluate the AEODRS system’s ability to self-right, JHU/APL teamed up with ARL to leverage the software Kessens developed. The team was able to extend its ability to robots with a greater number of joints (or degrees of freedom) due to JHU/APL researcher Galen Mullins’ expertise in adaptive sampling techniques.

military robots

Advanced Explosive Ordnance Disposal Robotic System Increment 1 Platform. (Credit: Northrop Grumman)

“The analysis I’ve been working on looks at all possible geometries and orientations that the robot could find itself in,” Kessens said. “The problem is that each additional joint adds a dimension to the search space–so it is important to look in the right places for stable states and transitions. Otherwise, the search could take too long.”

Kessens said Mullins’ work is what allowed the analysis to work efficiently for analyzing higher degree of freedom systems. While Kessens’ work determines what to look for and how, Mullins figures out where to look.”

“This analysis was made possible by our newly developed range adversarial planning tool, or RAPT, a software framework for testing autonomous and robotic systems,” Mullins said. “We originally developed the software for underwater vehicles, but when Chad explained his approach to the self-righting problem, I immediately saw how these technologies could work together.”

Adaptive sampling algorithm for military robots

He said the key to this software is an adaptive sampling algorithm that looks for transitions.

“For this work, we were looking for states where the robot could transition from a stable configuration to an unstable one, thus causing the robot to tip over,” Mullins explained. “My techniques were able to effectively predict where those transitions might be so that we could search the space efficiently.”

Ultimately, the team was able to evaluate the AEODRS systems’ eight degrees of freedom and determined it can right itself on level ground no matter what initial state it finds itself in. The analysis also generates motion plans showing how the robot can reorient itself. The team’s findings can be found in “Evaluating Robot Self-Righting Capabilities using Adaptive Sampling,” set to be published in IEEE’s Robotics and Automation Letters in August.

Beyond the evaluation of any one specific robot, Kessens sees the analysis framework as important to the military’s ability to compare robots from different vendors and select the best one for purchasing.

“The Army and Navy want robots that can self-right, but we are still working to understand and evaluate what that means,” Kessens said. “Self-right under what conditions? We have developed a metric analysis for evaluating a robot’s ability to self-right on sloped planar ground, and we could even use it as a tool for improving robot design. Our next step is to determine what a robot is capable of on uneven terrain.”

Editor’s Note: This article was republished from the US Army Research Laboratory.

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 >

Six of multiple possible assistance scenarios with a prototype of a new robot being developed at MIT. Top row: getting into/out of a bathtub, bending down to reach objects, and catching a fall. Bottom row: powered sit-to-stand transition from a toilet, lifting a person from the floor, and walking assistance.
MIT engineers create elder assist robot E-BAR to prevent falls at home
The Northeastern team that won the MassRobotics Form & Function Challenge.
Northeastern soft robotic arm wins MassRobotics Form & Function Challenge at Robotics Summit
A FANUC robot working in car manufacturing.
U.S. automotive industry increased robot installations by 10% in 2024
A robot arm with a two-fingered gripper picking up a cup next to a sink.
Cornell University teaches robots new tasks from how-to videos in just 30 minutes

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