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Implicit Coordination using Active Epistemic Inference for Multi-Robot Systems
Lauren Bramblett, Jonathan Reasoner, Nicola Bezzo
A Multi-robot system (MRS) provides significant advantages for intricate tasks such as environmental monitoring, underwater inspections, and space missions. However, addressing pot…
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,…
Epistemic Planning for Heterogeneous Robotic Systems
Lauren Bramblett, Nicola Bezzo
In applications such as search and rescue or disaster relief, heterogeneous multi-robot systems (MRS) can provide significant advantages for complex objectives that require a suite…