Piotr Kicki
Papers
11
Total Citations
154
H-Index
6
About
Piotr Kicki is a robotics researcher whose work spans robotic perception, manipulation of deformable objects, and motion planning, with a particular emphasis on enabling robots to interact intelligently with complex, unstructured environments. His early contributions focused on tactile sensing and haptic perception, demonstrating how robots can classify materials and estimate object stiffness through direct physical interaction — work that has collectively garnered nearly 50 citations. Kicki has made significant strides in the manipulation of deformable linear objects, developing frameworks that employ online model parameter estimation and recursive least squares filtering to handle the notoriously difficult dynamics of cables and ropes, with his 2024 DLO manipulation paper already accumulating 32 citations. His research on multi-modal sensor fusion highlights the importance of robustness in robotic perception systems under real-world disturbances (35 citations). More recently, Kicki has expanded into learning-based motion planning, exploring diffusion models and deep neural networks for fast kinodynamic planning on constraint manifolds. His work on unified locomotion policies for multi-embodiment legged robots further reflects a growing ambition to develop generalizable robotic intelligence. Across diverse topics, Kicki consistently bridges theoretical innovation with practical robotic applications.
Research Focus
Key Achievements
Top Papers
- 1On Robustness of Multi-Modal Fusion—Robotics Perspective35 citations · 2020
- 2
- 3Robotic Touch: Classification of Materials for Manipulation and Walking24 citations · 2019
- 4
- 5
- 6Robotic Manipulation of Elongated and Elastic Objects8 citations · 2019
- 7
- 8
- 9
- 10