SBIR-STTR Award

Development of a Remote Climbing Robot for Automating Welding Processes in the Ship Building Industry
Award last edited on: 4/1/2019

Sponsored Program
STTR
Awarding Agency
NSF
Total Award Amount
$868,153
Award Phase
2
Solicitation Topic Code
EL
Principal Investigator
Jamie Beard

Company Information

Robotic Technologies of Tennessee (AKA: RTT Robotics)

1615 Brown Avenue Suite 1
Cookeville, TN 38501
   (615) 390-8723
   info@robotictechtn.com
   www.robotictechtn.com

Research Institution

----------

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2007
Phase I Amount
$149,648
This Small Business Technology Transfer (STTR) Phase I research project will demonstrate a novel, climbing, robotic manufacturing platform to significantly advance automated ship fabrication techniques in the US. The goal of providing automation to the American ship-building industry poses significant challenges for several reasons: the industry presents a highly unstructured environment that could be restrictive to the mobility of autonomous machines; manufacturing requirements in the industry dictate a large degree of flexibility in the operation of fabrication equipment; and the industry requires reliable operation in a physically demanding environment. This proposal offers a solution to these challenges by merging recent climbing robot technology developed for remote inspection tasks in the coal-fired electric power industry with automated (but manually driven or tracked/feature-based) welding equipment and by adding lessons learned in developing intelligent and mechanically robust equipment for harsh environments. In modern sea-going vessels, there is a vast amount of welding and cutting required during the process of creating the bulkhead assemblies. Automating these tasks for this industry provides several significant advantages: process safety improvements for hazardous environments or for space-constrained environments that require disassembly for manual inspection; cost reductions through decreased need for manual, repetitive activities or setup of elaborate equipment; and, quality improvements as processes are automated. In the longer term, these efforts will serve as a base for extending this flexible automation tool to many parts of the ship fabrication, inspection and maintenance process. Finally, the proposed work will advance the state of knowledge in performing robotic tasks remotely in unstructured environments, and will contribute to increased automation in many other fields that present tasks that are hazardous or expensive for humans

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2008
Phase II Amount
$718,505
This Small Business Technology Transfer (STTR) Phase II research project will advance a Mobile Robotic Welding System (MRWS) to significantly improve automated ship fabrication techniques in the United States. Providing automation to the American shipbuilding industry poses significant challenges. Traditional robotic systems are inadequate in industries such as shipbuilding characterized by size and scale because of their inherent inability to adhere and maneuver across uneven and even inverted environments while maintaining a weld. The team addresses these problems by merging recent climbing robot technology developed for remote inspection tasks in the electric power industry with automated welding equipment. This project will advance this technology, moving it from the laboratory to the field and address the technical challenges posed by real-world conditions. This will include vehicle and manipulator interaction in a dynamic environment, sensor systems capable of handling variable conditions, and robust navigation and control algorithms with self preserving and correcting behaviors. This proposed effort focuses on technology innovation to significantly advance automation of manufacturing, inspection and maintenance processes through an autonomous, mobile climbing robot. If successful the outcome of this project will additionally advance the state of knowledge in performing robotic tasks remotely in unstructured environments. The general need for such capability in robotics is immense. Shipbuilding is an extremely labor-intensive, $15 billion dollar industry in the US, and its success depends on improvements in productivity. Over $40 trillion will be spent worldwide in infrastructure spending between 2005 and 2030. The US will spend $6.52 trillion overall and $1.53 trillion in energy/power segment with includes pipelines, storage facilities and alternative energy