19 citations · 50 across the 23 of their papers we have counts for
4 papers · 1 filter
Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave
Sagar Parekh, Lauren Bramblett, Nicola Bezzo +1
Humans interacting with robots often form predictions of what the robot will do next. For instance, based on the recent behavior of an autonomous car, a nearby human driver might p…
Take Your Best Shot: Sampling-Based Planning for Autonomous Photography
Shijie Gao, Lauren Bramblett, Nicola Bezzo
Autonomous mobile robots (AMRs) equipped with high-quality cameras have revolutionized the field of inspections by providing efficient and cost-effective means of conducting survey…
Robust Online Epistemic Replanning of Multi-Robot Missions
Lauren Bramblett, Branko Miloradovic, Patrick Sherman +2
As Multi-Robot Systems (MRS) become more affordable and computing capabilities grow, they provide significant advantages for complex applications such as environmental monitoring,…
A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments
Nicholas Mohammad, Jacob Higgins, Nicola Bezzo
For autonomous mobile robots, uncertainties in the environment and system model can lead to failure in the motion planning pipeline, resulting in potential collisions. In order to…