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

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6 papers · 1 filter

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…

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.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…

cs.RO2021★ 2 cited

Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric

Dawei Sun, Mohammad Javad Khojasteh, Shubhanshu Shekhar +1

In this paper, we consider the problem of using a robot to explore an environment with an unknown, state-dependent disturbance function while avoiding some forbidden areas. The goa…

cs.RO2020★ 15 cited

Learning Certified Control using Contraction Metric

Dawei Sun, Susmit Jha, Chuchu Fan

In this paper, we solve the problem of finding a certified control policy that drives a robot from any given initial state and under any bounded disturbance to the desired referenc…