Qingkun Guo
Papers
2
Total Citations
10
H-Index
2
About
Qingkun Guo is a robotics researcher whose work focuses on dynamic locomotion, particularly bipedal running and single-legged hopping. His major contributions lie in developing efficient algorithms for generating stable, high-performance gaits in legged robots. In his 2010 paper, "Generating efficient rigid biped running gaits with calculated take-off velocities," Guo introduced an offline optimization method that calculates initial joint velocities for the flight phase of bipedal running, using a novel objective function to ensure smooth and efficient motion. This work, cited 5 times, provides a foundational approach to simplifying the complex dynamics of running gaits. Earlier, in his 2008 paper "Hopping on Even Ground and Up Stairs with a Single Articulated Leg," he demonstrated robust hopping control across varied terrains, including stair climbing, also earning 5 citations. Guo's research bridges theoretical optimization and practical robotic control, offering valuable insights for students and researchers in legged locomotion, dynamics, and motion planning. His work remains a reference for those exploring efficient, terrain-adaptive gaits in robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Hopping on Even Ground and Up Stairs with a Single Articulated Leg5 citations · 2008