activity
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

collaborators

16 papers

cs.RO2022

Robust Disturbance Rejection for Robotic Bipedal Walking: System-Level-Synthesis with Step-to-step Dynamics Approximation

Xiaobin Xiong, Yuxiao Chen, Aaron Ames

We present a stepping stabilization control that addresses external push disturbances on bipedal walking robots. The stepping control is synthesized based on the step-to-step (S2S)…

eess.SY2022

Onboard Safety Guarantees for Racing Drones: High-speed Geofencing with Control Barrier Functions

Andrew Singletary, Aiden Swann, Yuxiao Chen +1

This paper details the theory and implementation behind practically ensuring safety of remotely piloted racing drones. We demonstrate robust and practical safety guarantees on a 7"…

cs.MA2021★ 48 cited

Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

Zengyi Qin, Kaiqing Zhang, Yuxiao Chen +2

We study the multi-agent safe control problem where agents should avoid collisions to static obstacles and collisions with each other while reaching their goals. Our core idea is t…

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…

eess.SY2019★ 5 cited

Safety-Critical Control Synthesis for network systems with Control Barrier Functions and Assume-Guarantee Contracts

Yuxiao Chen, James Anderson, Karan Kalsi +2

This paper aims at the safety-critical control synthesis of network systems such that the satisfaction of the safety constraints can be guaranteed. To handle the large state dimens…

math.OC2019★ 1 cited

Optimal Safe Controller Synthesis: A Density Function Approach

Yuxiao Chen, Mohamadreza Ahmadi, Aaron D. Ames

This paper considers the synthesis of optimal safe controllers based on density functions. We present an algorithm for robust constrained optimal control synthesis using the dualit…

math.OC2019★ 2 cited

Sparsity Preserving Discretization With Error Bounds

James Anderson, Nikolai Matni, Yuxiao Chen

Typically when designing distributed controllers it is assumed that the state-space model of the plant consists of sparse matrices. However, in the discrete-time setting, if one be…

eess.SY2019★ 2 cited

System Level Synthesis with State and Input Constraints

Yuxiao Chen, James Anderson

This paper addresses the problem of designing distributed controllers with state and input constraints in the System Level Synthesis (SLS) framework. Using robust optimization, we…

eess.SY2019★ 7 cited

Duality between density function and value function with applications in constrained optimal control and Markov Decision Process

Yuxiao Chen, Aaron D. Ames

Density function describes the density of states in the state space of a dynamic system or a Markov Decision Process (MDP). Its evolution follows the Liouville equation. We show th…

eess.SY2018★ 1 cited

Compositional Set Invariance in Network Systems with Assume-Guarantee Contracts

Yuxiao Chen, James Anderson, Karan Kalsi +2

This paper presents an assume-guarantee reasoning approach to the computation of robust invariant sets for network systems. Parameterized signal temporal logic (pSTL) is used to fo…