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20202026
most citedGrid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments

23 citations · 102 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

An Adaptive Control Architecture for Slope and Terrain Compensation in Autonomous Navigation in Mediterranean Greenhouses

Fernando Cañadas-Aránega, Dirk Wollherr, José L. Guzmán +2

The ability to move stably over terrain with varying slopes and textures is essential for mobile agricultural robots operating in complex and dynamic environments such as greenhous…

cs.RO2023

Disturbance Estimation for High-Degree-of-Freedom Euler-Lagrangian Systems Using Sliding Mode Observer without Matching Conditions

Zengjie Zhang, Dirk Wollherr

This paper proposes a novel observer-based disturbance estimation method for high degree-of-freedom Euler-Lagrangian systems using an unknown input-output (UIO) sliding mode observ…

cs.RO2022★ 3 cited

MS2MP: A Min-Sum Message Passing Algorithm for Motion Planning

Salman Bari, Volker Gabler, Dirk Wollherr

Gaussian Process (GP) formulation of continuoustime trajectory offers a fast solution to the motion planning problem via probabilistic inference on factor graph. However, often the…

cs.RO2022★ 3 cited

Factor Graph-Based Planning as Inference for Autonomous Vehicle Racing

Salman Bari, Xiagong Wang, Ahmad Schoha Haidari +1

Factor graph, as a bipartite graphical model, offers a structured representation by revealing local connections among graph nodes. This study explores the utilization of factor gra…

cs.RO2021★ 17 cited

Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing

Tim Brüdigam, Alexandre Capone, Sandra Hirche +2

A fundamental aspect of racing is overtaking other race cars. Whereas previous research on autonomous racing has majorly focused on lap-time optimization, here, we propose a method…