HEROES: Unreal Engine-based Human and Emergency Robot Operation Education System
Anav Chaudhary, Kshitij Tiwari, Aniket Bera

TL;DR
HEROES is an Unreal Engine-based simulator designed to train first responders and emergency robots for urban search and rescue in mass casualty incidents, providing realistic, scalable, and collaborative virtual environments.
Contribution
This work introduces a versatile simulation platform that generates synthetic datasets and realistic scenarios for training and developing emergency response robots and personnel.
Findings
81% positive response on environment variability
78% positive response on simulation usefulness
Supports collaboration between robot developers and first responders
Abstract
Training and preparing first responders and humanitarian robots for Mass Casualty Incidents (MCIs) often poses a challenge owing to the lack of realistic and easily accessible test facilities. While such facilities can offer realistic scenarios post an MCI that can serve training and educational purposes for first responders and humanitarian robots, they are often hard to access owing to logistical constraints. To overcome this challenge, we present HEROES- a versatile Unreal Engine simulator for designing novel training simulations for humans and emergency robots for such urban search and rescue operations. The proposed HEROES simulator is capable of generating synthetic datasets for machine learning pipelines that are used for training robot navigation. This work addresses the necessity for a comprehensive training platform in the robotics community, ensuring pragmatic and efficient…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAnomaly Detection Techniques and Applications · Software Testing and Debugging Techniques
