no code implementations • 17 Feb 2021 • Andrey Rudenko, Luigi Palmieri, Johannes Doellinger, Achim J. Lilienthal, Kai O. Arras
Understanding and anticipating human activity is an important capability for intelligent systems in mobile robotics, autonomous driving, and video surveillance.
Autonomous Driving
Robotics
no code implementations • 11 Oct 2020 • Alexander Berndt, Niels van Duijkeren, Luigi Palmieri, Tamas Keviczky
A common mitigation approach is to re-solve the MAPF using the current, delayed AGV positions.
1 code implementation • 7 Mar 2020 • Eric Heiden, Luigi Palmieri, Kai O. Arras, Gaurav S. Sukhatme, Sven Koenig
Planning smooth and energy-efficient motions for wheeled mobile robots is a central task for applications ranging from autonomous driving to service and intralogistic robotics.
no code implementations • 15 May 2019 • Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai O. Arras
With growing numbers of intelligent autonomous systems in human environments, the ability of such systems to perceive, understand and anticipate human behavior becomes increasingly important.
no code implementations • 28 Oct 2015 • Luigi Palmieri, Andrey Rudenko, Kai O. Arras
We introduce and show preliminary results of a fast randomized method that finds a set of K paths lying in distinct homotopy classes.