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Running model and hopping robot using pelvic movement and leg elasticity

Takuya Otani, M. Yahara, K. Uryu, Atsushi Iizuka, Kenji Hashimoto, Tatsuhiro Kishi, Nobutsuna Endo, Masanori Sakaguchi, Yasuo Kawakami, Sang-Ho Hyon, Hun‐ok Lim, Atsuo Takanishi

Year
2014
Citations
3

Abstract

Human running motion can be modeled by a spring loaded inverted pendulum (SLIP). However, this model, despite being widely used in robotics, does not include human-like pelvic motion. In this study, we show that the pelvis actually contributes to the increase in jumping force and absorption of landing impact, both of which findings can be used to improve running robots. On the basis of the analysis of human running motion, we propose a new model named SLIP <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> (spring loaded inverted pendulum using pelvis). This model is composed of a body mass, a pelvis, and leg springs; the model can control its springs during running by use of pelvic movement in the frontal plane. To achieve hopping and running motions, we developed pelvis oscillation control, running velocity control, and stabilization control using an upper body, as control methods. We also developed a new hopping robot using the SLIP <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> model. To evaluate the proposed model and control methods, we performed hopping and running simulations. The simulation results showed that the SLIP <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> model successfully achieves hopping and running motions. The hopping robot was also able to accomplish hopping motion. The simulation results also showed that the difference between the pelvic rotational phase and the phase of oscillation of the mass vertical displacement affects the jumping force. In particular, the results revealed that the human-like pelvic rotation contributes to the absorption of landing impact and to the increase in takeoff forces, which validates our observations in human motion analysis.

Keywords

Artificial intelligenceSimulationRobotSlip (aerodynamics)Computer scienceRoboticsComputer visionControl theory (sociology)PhysicsEngineering

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