activity
20152023
most citedPredicting Dense and Context-aware Cost Maps for Semantic Robot Navigation

3 citations · 4 across the 4 of their papers we have counts for

collaborators

10 papers

cs.RO20231 cited

An Industrial Perspective on Multi-Agent Decision Making for Interoperable Robot Navigation following the VDA5050 Standard

Niels van Duijkeren, Luigi Palmieri, Ralph Lange +1

This paper provides a perspective on the literature and current challenges in Multi-Agent Systems for interoperable robot navigation in industry. The focus is on the multi-agent de…

cs.RO20223 cited

Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation

Yash Goel, Narunas Vaskevicius, Luigi Palmieri +2

We investigate the task of object goal navigation in unknown environments where the target is specified by a semantic label (e.g. find a couch). Such a navigation task is especiall…

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

A Feedback Scheme to Reorder a Multi-Agent Execution Schedule by Persistently Optimizing a Switchable Action Dependency Graph

Alexander Berndt, Niels Van Duijkeren, Luigi Palmieri +1

In this paper we consider multiple Automated Guided Vehicles (AGVs) navigating a common workspace to fulfill various intralogistics tasks, typically formulated as the Multi-Agent P…

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…