activity
20192024
most citedVerifying Controllers with Convolutional Neural Network-based Perception: A Case for Intelligible, Safe, and Precise Abstractions

36 citations · 82 across the 11 of their papers we have counts for

collaborators

11 papers

cs.RO2024

Human Behavior Modeling via Identification of Task Objective and Variability

Sooyung Byeon, Dawei Sun, Inseok Hwang

Human behavior modeling is important for the design and implementation of human-automation interactive control systems. In this context, human behavior refers to a human's control…

eess.SY2022★ 2 cited

On Attack Detection and Identification for the Cyber-Physical System using Lifted System Model

Dawei Sun, Minhyun Cho, Inseok Hwang

Motivated by the safety and security issues related to cyber-physical systems with potentially multi-rate, delayed, and nonuniformly sampled measurements, we investigate the attack…

cs.RO2022★ 20 cited

Cooperative Task and Motion Planning for Multi-Arm Assembly Systems

Jingkai Chen, Jiaoyang Li, Yijiang Huang +7

Multi-robot assembly systems are becoming increasingly appealing in manufacturing due to their ability to automatically, flexibly, and quickly construct desired structural designs.…

cs.RO2022★ 2 cited

Multi-agent Motion Planning from Signal Temporal Logic Specifications

Dawei Sun, Jingkai Chen, Sayan Mitra +1

We tackle the challenging problem of multi-agent cooperative motion planning for complex tasks described using signal temporal logic (STL), where robots can have nonlinear and nonh…

cs.LG2022

SABLAS: Learning Safe Control for Black-box Dynamical Systems

Zengyi Qin, Dawei Sun, Chuchu Fan

Control certificates based on barrier functions have been a powerful tool to generate probably safe control policies for dynamical systems. However, existing methods based on barri…

cs.RO2021★ 36 cited

Verifying Controllers with Convolutional Neural Network-based Perception: A Case for Intelligible, Safe, and Precise Abstractions

Chiao Hsieh, Keyur Joshi, Sasa Misailovic +1

Convolutional Neural Networks (CNN) for object detection, lane detection, and segmentation now sit at the head of most autonomy pipelines, and yet, their safety analysis remains an…