Automating Logistics for Healthcare Environments using Autonomous Robots Part 2

  • Project Year: 2025-26
  • Departments Represented: MEng
  • Industry/Track: Robotics, Aerospace, or Automotive Advancements

Healthcare facilities face high labor turnover rates (16.4% overall, 40%+ at long-term care centers) and costs from supply chain inefficiencies ($25B total annual loss in the US). Outdated internal logistics models are a systemic problem that forces clinical staff to spend over a third of their time on non-care-related tasks. We’re creating a mobile robotic platform that fully decentralizes the medical inventory, eliminating the need for nurses to retrieve items themselves. With medical-safe hardware design, advanced sensing and navigation, and multi-agent optimization via an integrated software platform, we’re approaching this problem from the perspective of what will actually help clinical staff rather than replacing them.

  • Advisor(s): Homayoon Kazerooni
  • Team: Lleyton Elliott[ME], Haotong Wang [ME], Fengze Du [ME], Guancheng Wang [ME], Ruiming Wang[ME]