P Zech
Papers
7
Total Citations
109
H-Index
3
About
Philipp Zech is a leading researcher at the intersection of ecological psychology and robotics, best known for advancing the computational modeling of affordances—the actionable possibilities that environments offer agents. His seminal work, "Computational models of affordance in robotics: a taxonomy and systematic classification" (81 citations), provides a foundational framework that systematically categorizes how J.J. Gibson’s concept of affordance can be operationalized in robotic systems, bridging perception and action for more intuitive human-robot interaction. Zech has also made significant contributions to robotic grasping, developing novel optimization techniques such as Monte-Carlo Tree Search on the unit quaternion manifold for grasp density functions, and pioneering grasp learning from demonstration to reduce reliance on object geometry in cluttered environments. His editorial work on affordance for robotics further underscores his role in shaping this emerging field. Beyond robotics, Zech applies intelligent systems to mechanical tunneling, demonstrating the versatility of his research. With a portfolio that spans foundational theory to practical applications, his work has garnered over 100 citations, establishing him as a key figure in affordance-based robotics and autonomous manipulation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Proceedings of the Austrian Robotics Workshop 201814 citations · 2018
- 3Editorial: Computational models of affordance for robotics3 citations · 2022
- 4
- 5Mehrwerte im maschinellen Tunnelvortrieb durch intelligente Systeme3 citations · 2021
- 6Grasp Learning by Sampling from Demonstration3 citations · 2016
- 7Coupled Requirements-Driven Testing of CPS: From Simulation to Reality2 citations · 2024