Papers

20

Total Citations

293

H-Index

10

About

Ioannis Iossifidis is a leading researcher in cognitive robotics, whose work bridges the gap between biological principles and autonomous robotic systems. His primary research areas include dynamical systems for movement generation, human-robot interaction, and cortex-inspired architectures for scene representation. Iossifidis is best known for pioneering the application of attractor dynamics to redundant manipulators, enabling anthropomorphic robot arms to autonomously reach for objects while simultaneously avoiding dynamic obstacles and respecting joint limits—a breakthrough that has garnered over 53 citations for his foundational 2006 paper. He also developed the CORA (Cooperative Robot Assistant) platform, an anthropomorphic robot designed for collaborative manipulation in human environments, which integrates vision, audition, and haptics for natural multimodal interaction. A notable achievement is his work on Dynamic Neural Fields, where he created a cortex-inspired architecture for robotic scene representation that autonomously controls gaze, attention, and working memory. With over 200 total citations across his most-cited works, Iossifidis has significantly advanced the fields of autonomous manipulation and human-robot collaboration, laying the groundwork for robots that can safely and intuitively operate alongside humans in dynamic, real-world settings.

Research Focus

Key Achievements

10
H-Index
20
Papers
293
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Dynamical Systems Approach for the Autonomous Avoidance of Obstacles and Joint-limits for an Redundant Robot Arm
53 citations · 2006
📈 Most Prolific Year: 2010 (5 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Ruhr University Bochum, Ruhr West University of Applied Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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