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

5 citations · 6 across the 4 of their papers we have counts for

collaborators

7 papers

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.RO20255 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.RO20251 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…