Igor Danilov
Papers
1
Total Citations
12
H-Index
1
About
Igor Danilov is a researcher in biomechanics and robotics, with a primary focus on human-like bipedal locomotion and motion capture technologies. His most cited work, "Toward a human-like biped robot gait," presents a pioneering biomechanical analysis of human walking using a markerless Motion Capture system built from four Kinect 2 sensors and iPi Soft technology. This study, which has garnered 12 citations, demonstrates how multi-depth sensor video recordings, processed through iPi Mocap Studio and iPi Biomech Add-on, can extract detailed gait parameters without traditional markers. Danilov's contributions bridge the gap between human biomechanics and robotic design, offering a cost-effective, accessible method for capturing natural movement data. His work is notable for advancing the development of more fluid, human-like gaits in bipedal robots, directly informing prosthetics, rehabilitation, and humanoid robotics. By integrating affordable sensor arrays with sophisticated tracking software, Danilov has opened new pathways for researchers studying locomotion, making high-fidelity motion analysis more practical for labs with limited resources.
Research Focus
Key Achievements
Top Papers
- 1