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20242026
most citedTrajectory prediction for heterogeneous agents: A performance analysis on small and imbalanced datasets

5 citations · 6 across the 9 of their papers we have counts for

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9 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.RO2025★ 5 cited

Trajectory prediction for heterogeneous agents: A performance analysis on small and imbalanced datasets

Tiago Rodrigues de Almeida, Yufei Zhu, Andrey Rudenko +4

Robots and other intelligent systems navigating in complex dynamic environments should predict future actions and intentions of surrounding agents to reach their goals efficiently…

cs.RO2025

Long-Term Human Motion Prediction Using Spatio-Temporal Maps of Dynamics

Yufei Zhu, Andrey Rudenko, Tomasz P. Kucner +2

Long-term human motion prediction (LHMP) is important for the safe and efficient operation of autonomous robots and vehicles in environments shared with humans. Accurate prediction…

cs.RO2025

NeMo-map: Neural Implicit Flow Fields for Spatio-Temporal Motion Mapping

Yufei Zhu, Shih-Min Yang, Andrey Rudenko +3

Safe and efficient robot operation in complex human environments can benefit from good models of site-specific motion patterns. Maps of Dynamics (MoDs) provide such models by encod…

cs.RO2025

Multimodal Interaction and Intention Communication for Industrial Robots

Tim Schreiter, Andrey Rudenko, Jens V. Rüppel +2

Successful adoption of industrial robots will strongly depend on their ability to safely and efficiently operate in human environments, engage in natural communication, understand…

cs.RO2025★ 1 cited

Evaluating Efficiency and Engagement in Scripted and LLM-Enhanced Human-Robot Interactions

Tim Schreiter, Jens V. Rüppel, Rishi Hazra +3

To achieve natural and intuitive interaction with people, HRI frameworks combine a wide array of methods for human perception, intention communication, human-aware navigation and c…