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20232025
most citedQuadrotor Stabilization with Safety Guarantees: A Universal Formula Approach

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.MA2025

Multi-Robot Cooperative Herding through Backstepping Control Barrier Functions

Kang Li, Ming Li, Wenkang Ji +2

We propose a novel cooperative herding strategy through backstepping control barrier functions (CBFs), which coordinates multiple herders to herd a group of evaders safely towards…

eess.SY2024

A Comparative Study of Artificial Potential Fields and Reciprocal Control Barrier Function-based Safety Filters

Ming Li, Zhiyong Sun

In this paper, we demonstrate that controllers designed by artificial potential fields (APFs) can be derived from reciprocal control barrier function quadratic program (RCBF-QP) sa…

eess.SY2024

A Tunable Universal Formula for Safety-Critical Control

Ming Li, Zhiyong Sun, Patrick J. W. Koelewijn +1

Sontag's universal formula is a widely used technique for stabilizing control through control Lyapunov functions. Recently, it has been extended to address safety-critical control…

eess.SY2024★ 1 cited

Unifying Controller Design for Stabilizing Nonlinear Systems with Norm-Bounded Control Inputs

Ming Li, Zhiyong Sun, Siep Weiland

This paper revisits a classical challenge in the design of stabilizing controllers for nonlinear systems with a norm-bounded input constraint. By extending Lin-Sontag's universal f…

cs.RO2024★ 1 cited

Quadrotor Stabilization with Safety Guarantees: A Universal Formula Approach

Ming Li, Zhiyong Sun, Siep Weiland

Safe stabilization is a significant challenge for quadrotors, which involves reaching a goal position while avoiding obstacles. Most of the existing solutions for this problem rely…

cs.RO2023

An alternating peak-optimization method for optimal trajectory generation of quadrotor drones

Wytze A. B. de Vries, Ming Li, Qirui Song +1

In this paper, we propose an alternating optimization method to address a time-optimal trajectory generation problem. Different from the existing solutions, our approach introduces…