45 citations · 165 across the 32 of their papers we have counts for
33 papers
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…
Efficient Gradient Approximation Method for Constrained Bilevel Optimization
Siyuan Xu, Minghui Zhu
Bilevel optimization has been developed for many machine learning tasks with large-scale and high-dimensional data. This paper considers a constrained bilevel optimization problem,…
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…
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…
Distributed Safe Learning and Planning for Multi-robot Systems
Zhenyuan Yuan, Minghui Zhu
This paper considers the problem of online multi-robot motion planning with general nonlinear dynamics subject to unknown external disturbances. We propose dSLAP, a distributed saf…
Lightweight Distributed Gaussian Process Regression for Online Machine Learning
Zhenyuan Yuan, Minghui Zhu
In this paper, we study the problem where a group of agents aim to collaboratively learn a common static latent function through streaming data. We propose a lightweight distribute…