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20152026
most citedRobust Global Exponential Stabilization on the -Dimensional Sphere with Applications to Trajectory Tracking for Quadrotors

34 citations · 37 across the 20 of their papers we have counts for

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6 papers · 1 filter

cs.RO2025

HyRRT-Connect: Bidirectional Motion Planning for Hybrid Dynamical Systems

Nan Wang, Ricardo G. Sanfelice

This paper proposes a bidirectional rapidly-exploring random trees (RRT) algorithm to solve the motion planning problem for hybrid systems. The proposed algorithm, called HyRRT-Con…

cs.RO2025

A Safe Hybrid Control Framework for Car-like Robot with Guaranteed Global Path-Invariance using a Control Barrier Function

Nan Wang, Adeel Akhtar, Ricardo G. Sanfelice

This work proposes a hybrid framework for car-like robots with obstacle avoidance, global convergence, and safety, where safety is interpreted as path invariance, namely, once the…

cs.RO2024

Motion Planning for Hybrid Dynamical Systems: Framework, Algorithm Template, and a Sampling-based Approach

Nan Wang, Ricardo G. Sanfelice

This paper focuses on the motion planning problem for the systems exhibiting both continuous and discrete behaviors, which we refer to as hybrid dynamical systems. Firstly, the mot…

cs.RO2024

HyRRT-Connect: A Bidirectional Rapidly-Exploring Random Trees Motion Planning Algorithm for Hybrid Systems

Nan Wang, Ricardo G. Sanfelice

This paper proposes a bidirectional rapidly-exploring random trees (RRT) algorithm to solve the motion planning problem for hybrid systems. The proposed algorithm, called HyRRT-Con…

cs.RO2023

HySST: A Stable Sparse Rapidly-Exploring Random Trees Optimal Motion Planning Algorithm for Hybrid Dynamical Systems

Nan Wang, Ricardo G. Sanfelice

This paper proposes a stable sparse rapidly-exploring random trees (SST) algorithm to solve the optimal motion planning problem for hybrid systems. At each iteration, the proposed…

cs.RO2022

A Rapidly-Exploring Random Trees Motion Planning Algorithm for Hybrid Dynamical Systems

Nan Wang, Ricardo G. Sanfelice

This paper proposes a rapidly-exploring random trees (RRT) algorithm to solve the motion planning problem for hybrid systems. At each iteration, the proposed algorithm, called HyRR…