activity
20222025
most citedEpistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environments

9 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2025

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…

cs.RO2024

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…

cs.RO2024

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…

cs.RO2024★ 1 cited

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,…

cs.RO2023

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…

cs.RO2023★ 9 cited

Epistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environments

Lauren Bramblett, Shijie Gao, Nicola Bezzo

In communication restricted environments, a multi-robot system can be deployed to either: i) maintain constant communication but potentially sacrifice operational efficiency due to…

cs.RO2022★ 1 cited

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022

Xuesu Xiao, Zifan Xu, Zizhao Wang +14

The BARN (Benchmark Autonomous Robot Navigation) Challenge took place at the 2022 IEEE International Conference on Robotics and Automation (ICRA 2022) in Philadelphia, PA. The aim…