Philipp Karkowski
Papers
8
Total Citations
79
H-Index
6
About
Philipp Karkowski is a robotics researcher specializing in humanoid robot navigation, footstep planning, and autonomous perception in cluttered, dynamic environments. His major contributions center on developing real-time, computationally efficient algorithms that enable humanoid robots to traverse complex 3D spaces without relying on expensive external sensors. Notably, his geometric approach to real-time footstep planning (2016, 20 citations) and his use of inverse reachability maps for efficient 3D environment coverage (2017, 18 citations) have set benchmarks for practical, on-board navigation. Karkowski also advanced person-finding and following under occlusions, employing hidden Markov models (2019, 12 citations) and graph-based motion prediction to improve robot-human interaction. His work on classifying obstacles to select appropriate robot actions (2018, 10 citations) and foresighted navigation through cluttered environments (2016, 7 citations) demonstrates a consistent focus on predictive, knowledge-driven planning. Together, his research bridges the gap between theoretical motion planning and real-world deployment, making humanoid robots more autonomous and responsive in dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1Real-time footstep planning using a geometric approach20 citations · 2016
- 2
- 3Speeding up person finding using hidden Markov models12 citations · 2019
- 4
- 5Foresighted navigation through cluttered environments7 citations · 2016
- 6
- 7Learning foresighted people following under occlusions4 citations · 2017
- 8