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ELIPM을 이용한 이족보행로봇의 궤적생성

Trajectory Generation for a Biped Robot Using ELIPM

  • 투고 : 2010.12.15
  • 심사 : 2011.04.13
  • 발행 : 2011.07.01

초록

궤적생성은 로봇보행의 안정성, 연속성 그리고 보행특성을 결정하는 가장 중요한 일이다. 보통 궤적생성법으로 LIPM을 많이 쓰지만 그것은 그것의 선형화 기법 때문에 수직방향으로의 동작생성을 할 수 없다는 단점이 있다. 이 논문에서는 ELIPM이라는 새로운 궤적생성법을 제안한다. 이 궤적생성법은 전진방향의 동작은 물론이고 수직방향의 동작을 간단하게 생성할 수 있다.

Trajectory generation is important because it determines the walking stability, continuity, and performance of a body in motion. Generally, the Linear Inverted Pendulum Mode is used for trajectory generation; however, for the sake of simplicity, the trajectory in this mode does not allow vertical motions and pitching motions of the body. This paper proposes a new trajectory generation method called Extended Linear Inverted Pendulum Mode (ELIPM) that allows vertical motion as well as pitching motion. This method can also improve the performance of locomotion by controlling the stride and locomotion frequency of a body.

키워드

참고문헌

  1. Kajita, S. and Tani, K., 1991, "Study of Dynamic Biped Locomotion on Rugged Terrain," Proc. IEEE Int. Conf. on Robotics and Automation, pp. 1405-1411.
  2. Kajita, S., Yamaura, T. and Kobayashi, A., 1992, "Dynamic Walking Control of a Biped Robot Along a Potential Energy Conserving Orbit," IEEE Transactions on Robotics & Automation, pp. 431-438.
  3. Park, J. H. and Son, B., 2008, "Speed Translation for Walking Biped Robots using LIPM," Proc. IEEE Int. Conf. on Korea Society of Mechanical Engineering, pp. 876-881.
  4. Hirabayasho, T., Ugurlu, B., Kawamura, A. and Zhu, C., 2008, "Yaw Moment Compensation of Biped Fast Walking Using 3D Inverted Pendulum," IEEE Int. Workshop on Advanced Motion Control, pp. 296-300.
  5. Zhu, C. and Kawamura, A., 2007, "Bipedal Walking Pattern Design Considering the Effect of Double Support Phase," Proc. IEEE Int. Conf. on Robotics and Biomimetics, pp. 883-888.
  6. Xiao-gang, R. and Zhi-qian, L., 2009, "A Bipedal Locomotion Planning with Double Support Phase Based on Linear Inverted Pendulum Mode," Proc. IEEE Int. Conf. on Intelligent Systems, pp. 73-77.
  7. Motoi, N. and Suzuki, T., 2009, "A Biped Locomotion Planning Based on Virtual Linear Inverted Pendulum Mode," Proc. IEEE Int. Conf. on Industrial Electronics, pp. 56-61.
  8. Park, J. H. and Kim, K. D., 1998, "Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed-Torque Control," Proc. IEEE Int. Conf. on Robotics & Automation, pp. 3528-3533.
  9. Erbatur, K. and Seven, E., 2007, "An Inverted Pendulum Based Approach to Biped Trajectory Generation with Swing Leg Dynamics," Proc. IEEE Int. Conf. on Humanoid Robots, pp. 216-221.