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20182022
most citedLearning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

48 citations · 81 across the 15 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.RO2020★ 7 cited

Reactive motion planning with probabilistic safety guarantees

Yuxiao Chen, Ugo Rosolia, Chuchu Fan +2

Motion planning in environments with multiple agents is critical to many important autonomous applications such as autonomous vehicles and assistive robots. This paper considers th…

cs.RO2020

Lidar-based exploration and discretization for mobile robot planning

Yuxiao Chen, Andrew Singletary, Aaron D. Ames

In robotic applications, the control, and actuation deal with a continuous description of the system and environment, while high-level planning usually works with a discrete descri…

cs.RO2020★ 4 cited

Decentralized Task and Path Planning for Multi-Robot Systems

Yuxiao Chen, Ugo Rosolia, Aaron D. Ames

We consider a multi-robot system with a team of collaborative robots and multiple tasks that emerges over time. We propose a fully decentralized task and path planning (DTPP) frame…

eess.SY2020

Online decentralized decision making with inequality constraints: an ADMM approach

Yuxiao Chen, Mario Santillo, Mrdjan Jankovic +1

We discuss an online decentralized decision making problem where the agents are coupled with affine inequality constraints. Alternating Direction Method of Multipliers (ADMM) is us…

eess.SY2020

Control Barrier Functions for Sampled-Data Systems with Input Delays

Andrew Singletary, Yuxiao Chen, Aaron D. Ames

This paper considers the general problem of transitioning theoretically safe controllers to hardware. Concretely, we explore the application of control barrier functions (CBFs) to…

cs.RO2020

Data-driven Characterization of Human Interaction for Model-based Control of Powered Prostheses

Rachel Gehlhar, Yuxiao Chen, Aaron D. Ames

This paper proposes a data-driven method for powered prosthesis control that achieves stable walking without the need for additional sensors on the human. The key idea is to extrac…

eess.SY2020★ 4 cited

Counter-example Guided Learning of Bounds on Environment Behavior

Yuxiao Chen, Sumanth Dathathri, Tung Phan-Minh +1

There is a growing interest in building autonomous systems that interact with complex environments. The difficulty associated with obtaining an accurate model for such environments…