most citedLearning Evacuee Models from Robot-Guided Emergency Evacuation Experiments

5 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023

Estimating Infinite-Dimensional Continuum Robot States From the Tip

Tongjia Zheng, Ciera McFarland, Margaret Coad +1

Knowing the state of a robot is critical for many problems, such as feedback control. For continuum robots, state estimation is an incredible challenge. First, the motion of a cont…

cs.RO2023★ 5 cited

Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments

Mollik Nayyar, Ghanghoon Paik, Zhenyuan Yuan +4

Recent research has examined the possibility of using robots to guide evacuees to safe exits during emergencies. Yet, there are many factors that can impact a person's decision to…

cs.RO2023★ 5 cited

Stable Real-Time Feedback Control of a Pneumatic Soft Robot

Sean Even, Tongjia Zheng, Hai Lin +1

Soft actuators offer compliant and safe interaction with an unstructured environment compared to their rigid counterparts. However, control of these systems is often challenging be…

cs.RO2023★ 1 cited

Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control

Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar +3

Emergency evacuation describes a complex situation involving time-critical decision-making by evacuees. Mobile robots are being actively explored as a potential solution to provide…

cs.RO2022

Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields

Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar +3

This work studies a robot-assisted crowd evacuation problem where we control a small group of robots to guide a large human crowd to safe locations. The challenge lies in how to mo…