Papers

19

Total Citations

388

H-Index

10

About

Markus Grotz is a robotics researcher specializing in humanoid robotics, mobile manipulation, and robot perception, with a particular focus on enabling autonomous robots to operate effectively in real-world and industrial environments. He is perhaps best known for his pivotal contributions to the ARMAR-6 humanoid robot project, a high-performance collaborative system designed for complex manipulation and maintenance tasks alongside human workers — work that has accumulated nearly 160 citations across two landmark publications. Grotz has made significant advances in robot cognition and scene understanding, developing methods for extracting physically plausible support relations between objects, enabling robots to reason about the consequences of manipulation actions in cluttered environments. His research on affordance hierarchies and loco-manipulation affordances has provided robots with structured frameworks for identifying and exploiting interaction possibilities in unknown settings, including challenging disaster scenarios. He has further contributed to efficient robot placement strategies for mobile manipulation, vision-based grasping under computational constraints, and affordance-driven pilot interfaces for humanoid supervision. His 2023 work on memory systems for cognitive robot architectures reflects a growing interest in higher-level robot intelligence. Collectively, his publications demonstrate a coherent vision: building robots that perceive, reason, and act reliably in complex, human-centered environments.

Research Focus

Key Achievements

10
H-Index
19
Papers
388
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
ARMAR-6: A High-Performance Humanoid for Human-Robot Collaboration in Real-World Scenarios
96 citations · 2019
📈 Most Prolific Year: 2017 (5 Papers)
🤝 Key Collaborators: 41
🏛 Institutions: Karlsruhe Institute of Technology, CE Technologies (United Kingdom)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago