Danny G. Riley — accepted AI-conference papers

2022

BOBCAT: Behaviors, Objectives and Binary states for Coordinated Autonomous Tasks

IROS 2022poster

We present our framework Behaviors, Objectives and Binary states for Coordinated Autonomous Tasks (BOBCAT), a multi-agent decision making and task management system for autonomous robots. BOBCAT builds on behavior-based systems and the Belief-Desire-Intention model for decision-making, by using miss…

Cited by 2 Source ↗Scholar ↗

2020

Reactive Control and Metric-Topological Planning for Exploration

Michael T. Ohradzansky, Andrew B. Mills, Eugene R. Rush, Danny G. Riley, Eric W. Frew, J. Sean Humbert

ICRA 2020poster

Autonomous navigation in unknown environments with the intent of exploring all traversable areas is a significant challenge for robotic platforms. In this paper, a simple yet reliable method for exploring unknown environments is presented based on bio-inspired reactive control and metric-topological…

Cited by 20 Source ↗Scholar ↗