19 citations · 50 across the 23 of their papers we have counts for
5 papers · 1 filter
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…
A Decision Tree-based Monitoring and Recovery Framework for Autonomous Robots with Decision Uncertainties
Rahul Peddi, Nicola Bezzo
Autonomous mobile robots (AMR) operating in the real world often need to make critical decisions that directly impact their own safety and the safety of their surroundings. Learnin…
A Model Predictive Path Integral Method for Fast, Proactive, and Uncertainty-Aware UAV Planning in Cluttered Environments
Jacob Higgins, Nicholas Mohammad, Nicola Bezzo
Current motion planning approaches for autonomous mobile robots often assume that the low level controller of the system is able to track the planned motion with very high accuracy…
RSSI-based Localization with Adaptive Noise Covariance Estimation for Resilient Multi-Agent Formations
Paul J Bonczek, Nicola Bezzo
Typical cooperative multi-agent systems (MASs) exchange information to coordinate their motion in proximity-based control consensus schemes to complete a common objective. However,…
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…