Torque based stabilization control for torque sensorless humanoid robots
Hiroto Suzuki, Yuya Nagamatsu, Takuma Shirai, Shunichi Nozawa, Yohei Kakiuchi, Kei Okada, Masayuki Inaba
- Year
- 2017
- Citations
- 8
Abstract
This paper proposes a stabilization control for joint torque controlled humanoid robots without joint torque sensors. The proposed controller's role is to compute all joint torques from the desired positions/postures of floating end effectors, the desired Center Of Gravity (COG), the desired root link posture and the reference Zero Moment Point (ZMP). The controller uses a very simple strategy based on the Single Degree Of Freedom (SDOF) model and statics. First, it calculates the wrenches at the COG or end effectors to keep their positions/postures. Second, it calculates the contact end effector wrenches by solving a constrained optimization problem. Finally, it computes joint torques from all end effector wrenches. Furthermore, we propose a method by which we control joint torques without joint torque sensors by compensating inertia torques and frictions. We implement the stabilization controller and the joint torque controller in a high-power biped robot. We confirm the effectiveness of the proposed controller through balancing and walking experiments on rough terrain.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991