Semi-autonomous underwater vehicles operating in offshore energy arrays provide cost-effective maintenance, monitoring, and inspection capabilities without endangering human divers.
Autonomous surface vehicles deployed in the coastal ocean and in our lakes and rivers help improve ecological sustainability.
The Robotic Decision Making Laboratory designs algorithms and builds autonomous systems to gather scientific data in the physical world.
Robotic sensing systems underwater and in the air can help us to understand the effects of urbanization on fragile inland and coastal waterways in Oregon and throughout the world.

The Robotic Decision Making Laboratory performs fundamental research in the growing area of robotic systems. We design planning, coordination, and learning techniques to improve robotic sensing and manipulation in the physical world. We work to develop scalable systems grounded in principled theoretical analysis capable of acting in changing, unstructured environments with imperfect information. A few of our recent research threads are listed below. Additional detail is provided on the research page.

  • Machine learning for inspection and classification with autonomous underwater vehicles
  • Communication-aware motion planning for robotic sensor networks
  • Decision making for personal robotic assistants
  • Multi-robot coordination for search and pursuit-evasion in the physical world
  • Tracking using non-line-of-sight ranging sensors