Toyota Material Handling North America Now Accepting Research Proposals to Advance Next-Generation Industry Technology

COLUMBUS, IN—Toyota Material Handling North America (TMHNA) announced it has begun accepting applications for the third annual TMHNA University Research Program, a sponsored research program created to drive and advance the next generation of material handling industry technology.

The program is accepting proposals via its website now through Dec. 15.

The TMHNA University Research Program’s mission encourages and supports professors and researchers who apply their engineering and technical field knowledge to discover innovative solutions in the material handling industry. Research proposals from full-time professors or researchers at North American universities will be evaluated for their impact on the future of the industry, as well as the planning and feasibility of the timeline and budget. Professors or researchers with selected proposals will be notified in April 2019.

“Creative thinking and progressive problem-solving are what continue to advance our industry,” said Brett Wood, president and chief executive officer, Toyota Material Handling North America. “This program perfectly personifies those qualities and aligns with our mission to provide our customers with solutions that are smarter, more efficient and more effective. We’re excited to see how this year’s applicants apply their knowledge of engineering and various technical fields to draw synergies between collegiate research and the material handling industry.”

Proposal funding for the previous 2017-2018 program included virtual reality (VR) and augmented reality (AR), energy infrastructure, Internet of Things (IoT) and Industry 4.0. Proposal themes for the 2018-2019 research proposals in the following areas are encouraged; however, given the broad nature of material handling, other themes are welcome.

  • Material handling for last-mile delivery, urban environments, piece-picking, reverse logistics and automation
  • Remote operation of material handling equipment
  • Warehousing energy infrastructure
  • VR/AR for material handling applications
  • Machine learning in material handling
  • Advanced driver-assistance systems (ADAS) for material handling equipment
  • Industry 4.0