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20152026
most citedPredicting Dense and Context-aware Cost Maps for Semantic Robot Navigation

3 citations · 4 across the 7 of their papers we have counts for

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15 papers · 1 filter

cs.RO2026

Conflict Mitigation in Shared Environments using Flow-Aware Multi-Agent Path Finding

Lukas Heuer, Yufei Zhu, Luigi Palmieri +4

Deploying multi-robot systems in environments shared with dynamic and uncontrollable agents presents significant challenges, especially for large robot fleets. In such environments…

cs.RO2024

Towards Using Fast Embedded Model Predictive Control for Human-Aware Predictive Robot Navigation

Till Hielscher, Lukas Heuer, Frederik Wulle +1

Predictive planning is a key capability for robots to efficiently and safely navigate populated environments. Particularly in densely crowded scenes, with uncertain human motion pr…

cs.RO2024

THÖR-MAGNI: A Large-scale Indoor Motion Capture Recording of Human Movement and Robot Interaction

Tim Schreiter, Tiago Rodrigues de Almeida, Yufei Zhu +7

We present a new large dataset of indoor human and robot navigation and interaction, called THÖR-MAGNI, that is designed to facilitate research on social navigation: e.g., modellin…

cs.RO2023

Receding Horizon Re-ordering of Multi-Agent Execution Schedules

Alexander Berndt, Niels van Duijkeren, Luigi Palmieri +2

The trajectory planning for a fleet of Automated Guided Vehicles (AGVs) on a roadmap is commonly referred to as the Multi-Agent Path Finding (MAPF) problem, the solution to which d…

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.RO2023

CLiFF-LHMP: Using Spatial Dynamics Patterns for Long-Term Human Motion Prediction

Yufei Zhu, Andrey Rudenko, Tomasz P. Kucner +4

Human motion prediction is important for mobile service robots and intelligent vehicles to operate safely and smoothly around people. The more accurate predictions are, particularl…