Philipp Ebert

Technische Universität Berlin

Papers

1

Total Citations

3

H-Index

1

About

Philipp Ebert is a researcher focused on the intersection of human-agent interaction and collaborative planning, with a particular emphasis on designing systems that enable seamless joint activities between humans and artificial agents. His most notable contribution, the paper "HPLAN: Facilitating the Implementation of Joint Human-Agent Activities" (2014), introduces a framework that addresses the critical challenge of coordinating shared goals and actions in mixed human-robot teams. This work lays foundational groundwork for developing more intuitive and effective human-agent collaboration, particularly in contexts requiring adaptive decision-making and mutual understanding. While his citation count is modest, Ebert’s research is significant for its practical approach to implementing complex interaction protocols, offering a blueprint for engineers and designers building collaborative AI systems. His work contributes to the broader field of human-robot interaction by bridging theoretical models of joint activity with real-world implementation strategies, making it a valuable resource for researchers exploring how to design agents that can truly work alongside humans in dynamic environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
HPLAN: Facilitating the Implementation of Joint Human-Agent Activities
3 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Technische Universität Berlin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago