activity
20092018
most citedMagnetic Structure and Susceptibility of CoSeO: A Low Dimensional Antiferromagnet

22 citations · 30 across the 10 of their papers we have counts for

collaborators
Showing cs.ROShow all

7 papers · 1 filter

cs.RO2018

Model predictive trajectory optimization and tracking for on-road autonomous vehicles

Peng Liu, Brian Paden, Umit Ozguner

Motion planning for autonomous vehicles requires spatio-temporal motion plans (i.e. state trajectories) to account for dynamic obstacles. This requires a trajectory tracking contro…

cs.RO2017★ 2 cited

The Generalized Label Correcting Method for Optimal Kinodynamic Motion Planning

Brian Paden

Nearly all autonomous robotic systems use some form of motion planning to compute reference motions through their environment. An increasing use of autonomous robots in a broad ran…

cs.RO2017

Landmark Guided Probabilistic Roadmap Queries

Brian Paden, Yannik Nager, Emilio Frazzoli

A landmark based heuristic is investigated for reducing query phase run-time of the probabilistic roadmap (\PRM) motion planning method. The heuristic is generated by storing minim…

cs.RO2016

Design of Admissible Heuristics for Kinodynamic Motion Planning via Sum-of-Squares Programming

Brian Paden, Valerio Varriccho, Emilio Frazzoli

How does one obtain an admissible heuristic for a kinodynamic motion planning problem? This paper develops the analytical tools and techniques to answer this question. A sufficient…

cs.RO2016

Selection of Input Primitives for the Generalized Label Correcting Method

Brian Paden, Emilio Frazzoli

The generalized label correcting method is an efficient search-based approach to trajectory optimization. It relies on a finite set of control primitives that are concatenated into…

cs.RO2016

A Generalized Label Correcting Method for Optimal Kinodynamic Motion Planning

Brian Paden, Emilio Frazzoli

A resolution complete optimal kinodynamic motion planning algorithm is presented and described as a generalized label correcting (GLC) method. In contrast to related algorithms, th…

cs.RO2016★ 1 cited

A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles

Brian Paden, Michal Cap, Sze Zheng Yong +2

Self-driving vehicles are a maturing technology with the potential to reshape mobility by enhancing the safety, accessibility, efficiency, and convenience of automotive transportat…