activity
20192023
most citedMulti-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates

51 citations · 59 across the 13 of their papers we have counts for

collaborators

13 papers

cs.RO2023

Risk-aware Safe Control for Decentralized Multi-agent Systems via Dynamic Responsibility Allocation

Yiwei Lyu, Wenhao Luo, John M. Dolan

Decentralized control schemes are increasingly favored in various domains that involve multi-agent systems due to the need for computational efficiency as well as general applicabi…

cs.RO2023

Minimally Constrained Multi-Robot Coordination with Line-of-sight Connectivity Maintenance

Yupeng Yang, Yiwei Lyu, Wenhao Luo

In this paper, we consider a team of mobile robots executing simultaneously multiple behaviors by different subgroups, while maintaining global and subgroup line-of-sight (LOS) net…

cs.MA2022★ 1 cited

Responsibility-associated Multi-agent Collision Avoidance with Social Preferences

Yiwei Lyu, Wenhao Luo, John M. Dolan

This paper introduces a novel social preference-aware decentralized safe control framework to address the responsibility allocation problem in multi-agent collision avoidance. Cons…

cs.RO2022

Noncooperative Herding With Control Barrier Functions: Theory and Experiments

Jaskaran Grover, Nishant Mohanty, Wenhao Luo +2

In this paper, we consider the problem of protecting a high-value unit from inadvertent attack by a group of agents using defending robots. Specifically, we develop a control strat…

cs.RO2022★ 1 cited

Adaptive Safe Merging Control for Heterogeneous Autonomous Vehicles using Parametric Control Barrier Functions

Yiwei Lyu, Wenhao Luo, John M. Dolan

With the increasing emphasis on the safe autonomy for robots, model-based safe control approaches such as Control Barrier Functions have been extensively studied to ensure guarante…

cs.RO2022

Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction Mechanism for Designing Safe Multi-Robot Systems

Bowei He, Zhenting Zhao, Wenhao Luo +1

A multi-robot system (MRS) is a group of coordinated robots designed to cooperate with each other and accomplish given tasks. Due to the uncertainties in operating environments, th…

cs.RO2021

Probabilistic Safety-Assured Adaptive Merging Control for Autonomous Vehicles

Yiwei Lyu, Wenhao Luo, John M. Dolan

Autonomous vehicles face tremendous challenges while interacting with human drivers in different kinds of scenarios. Developing control methods with safety guarantees while perform…

cs.RO2021★ 2 cited

Meta Preference Learning for Fast User Adaptation in Human-Supervisory Multi-Robot Deployments

Chao Huang, Wenhao Luo, Rui Liu

As multi-robot systems (MRS) are widely used in various tasks such as natural disaster response and social security, people enthusiastically expect an MRS to be ubiquitous that a g…

cs.RO2021

Hiding Leader's Identity in Leader-Follower Navigation through Multi-Agent Reinforcement Learning

Ankur Deka, Wenhao Luo, Huao Li +2

Leader-follower navigation is a popular class of multi-robot algorithms where a leader robot leads the follower robots in a team. The leader has specialized capabilities or mission…

cs.RO2020

Online Connectivity-aware Dynamic Deployment for Heterogeneous Multi-Robot Systems

Chendi Lin, Wenhao Luo, Katia Sycara

In this paper, we consider the dynamic multi-robot distribution problem where a heterogeneous group of networked robots is tasked to spread out and simultaneously move towards mult…

cs.RO2019★ 51 cited

Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates

Wenhao Luo, Wen Sun, Ashish Kapoor

Safety in terms of collision avoidance for multi-robot systems is a difficult challenge under uncertainty, non-determinism and lack of complete information. This paper aims to prop…

cs.RO2019

Behavior Mixing with Minimum Global and Subgroup Connectivity Maintenance for Large-Scale Multi-Robot Systems

Wenhao Luo, Sha Yi, Katia Sycara

In many cases the multi-robot systems are desired to execute simultaneously multiple behaviors with different controllers, and sequences of behaviors in real time, which we call \t…

cs.LG2019★ 4 cited

Active Learning with Gaussian Processes for High Throughput Phenotyping

Sumit Kumar, Wenhao Luo, George Kantor +1

A looming question that must be solved before robotic plant phenotyping capabilities can have significant impact to crop improvement programs is scalability. High Throughput Phenot…