Situation Aware Frontier Prioritization for Quadruped Search and Rescue
2026-08-03 • Robotics
Robotics
AI summaryⓘ
The authors look at how four-legged robots can better search indoor places during rescue missions. They improved the way the robot decides where to go next by considering things like how much new information it will get, how important an area is for finding victims, the difficulty of the terrain, and travel cost. They tested this method in computer simulations with different room setups and found their approach worked best in more complicated environments. Their work helps robots make smarter choices when exploring tricky rescue scenes.
Quadruped robotsSearch and rescueFrontier explorationInformation gainObservation deficitRescue relevanceTerrain penaltyTravel costGazebo simulation
Authors
Kevin Farias, Santiago Martin, Barbara Flores, Vinicio Melgar, Igor Nunes, Hiago Sodre, Pablo Moraes, Ricardo B. Grando
Abstract
Quadruped robots are a promising platform for search and rescue missions because they can navigate cluttered indoor environments that may be restrictive for wheeled systems. However, in unknown rescue scenarios, autonomous exploration must balance map expansion with the likelihood of finding victims, which is not explicitly addressed by clas- sical frontier selection strategies. This paper presents a situation aware frontier prioritization method for single robot quadruped search and rescue. The proposed approach preserves the frontier exploration framework, but extends frontier ranking with information gain, observation deficit, rescue relevance, terrain penalty, and travel cost. The method is eval- uated in Gazebo simulation with a quadruped robot in two indoor rescue scenarios with different levels of difficulty. The first scenario is used as a sanity check, while the second introduces stronger clutter and frontier ambiguity. Experimental results show that all methods perform reliably in a simple scenario, whereas in a complex scenario is different. In that setting, the proposed method achieves the highest completion rate and the highest victim recovery among the evaluated approaches. These results indicate that situation aware frontier prioritization is beneficial when frontier choice becomes nontrivial and rescue utility must be balanced against generic exploration objectives.