Putting Robots Where Humans Shouldn’t Be: AI-Enabled Humanoid Robotics for Hazard Detection

Faculty Mentor

Hossein Taheri

Location

Russell Union Ballroom

Type of Research

On-going

Session Format

Poster Presentation

College

Allen E. Paulson College of Engineering & Computing

Department

Electrical Engineering

Abstract

Hazardous environments such as construction sites, industrial facilities, and confined spaces pose significant risks to human safety. This research presents the design and development of an AI-enabled humanoid robot capable of operating in dangerous environments where human presence is unsafe. The proposed system integrates a multisensor framework including gas detection sensors, ultrasonic sensors, infrared and night-vision imaging to enable environmental monitoring and Non-destructive Testing (NDT) under low-visibility and hazardous conditions. An onboard artificial intelligence module allows the robot to autonomously detect hazards, identify structural faults, and communicate critical information to human operators via auditory alerts and visual indicators such as Light Emitting Diodes (LEDs). The humanoid form factor facilitates navigation and inspection in environments designed for human use, enabling fault detection in areas otherwise inaccessible or dangerous. The system emphasizes autonomous perception, AI-based decision-making, and human–robot interaction to improve situational awareness and operational safety. This work demonstrates how AI-enhanced humanoid robots can serve as effective safety tools, supporting monitoring, inspection, and communication tasks in hazardous environments while enhancing operational safety and efficiency.

Program Description

.

Start Date

4-23-2026 10:00 AM

End Date

4-23-2026 12:00 PM

This document is currently not available here.

Share

COinS
 
Apr 23rd, 10:00 AM Apr 23rd, 12:00 PM

Putting Robots Where Humans Shouldn’t Be: AI-Enabled Humanoid Robotics for Hazard Detection

Russell Union Ballroom

Hazardous environments such as construction sites, industrial facilities, and confined spaces pose significant risks to human safety. This research presents the design and development of an AI-enabled humanoid robot capable of operating in dangerous environments where human presence is unsafe. The proposed system integrates a multisensor framework including gas detection sensors, ultrasonic sensors, infrared and night-vision imaging to enable environmental monitoring and Non-destructive Testing (NDT) under low-visibility and hazardous conditions. An onboard artificial intelligence module allows the robot to autonomously detect hazards, identify structural faults, and communicate critical information to human operators via auditory alerts and visual indicators such as Light Emitting Diodes (LEDs). The humanoid form factor facilitates navigation and inspection in environments designed for human use, enabling fault detection in areas otherwise inaccessible or dangerous. The system emphasizes autonomous perception, AI-based decision-making, and human–robot interaction to improve situational awareness and operational safety. This work demonstrates how AI-enhanced humanoid robots can serve as effective safety tools, supporting monitoring, inspection, and communication tasks in hazardous environments while enhancing operational safety and efficiency.