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cs.RO2021

Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study

Timm Linder, Narunas Vaskevicius, Robert Schirmer +1

Advances in sensing and learning algorithms have led to increasingly mature solutions for human detection by robots, particularly in selected use-cases such as pedestrian detection…

cs.RO2021

Learning Occupancy Priors of Human Motion from Semantic Maps of Urban Environments

Andrey Rudenko, Luigi Palmieri, Johannes Doellinger +2

Understanding and anticipating human activity is an important capability for intelligent systems in mobile robotics, autonomous driving, and video surveillance. While learning from…

cs.RO2020

Plug-and-Play SLAM: A Unified SLAM Architecture for Modularity and Ease of Use

Mirco Colosi, Irvin Aloise, Tiziano Guadagnino +4

Nowadays, SLAM (Simultaneous Localization and Mapping) is considered by the Robotics community to be a mature field. Currently, there are many open-source systems that are able to…

cs.RO2020

Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots

Eric Heiden, Luigi Palmieri, Kai O. Arras +2

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. Ove…

cs.RO2020

CIAO: MPC-based Safe Motion Planning in Predictable Dynamic Environments

Tobias Schoels, Per Rutquist, Luigi Palmieri +3

Robots have been operating in dynamic environments and shared workspaces for decades. Most optimization based motion planning methods, however, do not consider the movement of othe…

cs.RO2019

Dispertio: Optimal Sampling for Safe Deterministic Sampling-Based Motion Planning

Luigi Palmieri, Leonard Bruns, Michael Meurer +1

A key challenge in robotics is the efficient generation of optimal robot motion with safety guarantees in cluttered environments. Recently, deterministic optimal sampling-based mot…