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Balance control of humanoid robot for Hurosot
16th IFAC, Jul., 8, 2005 Balance control of humanoid robot for Hurosot Bum-Joo Lee, Yong-Duk Kim and Jong-Hwan Kim Robot Intelligence Technology Lab. KAIST Robot Intelligence Technology Lab.
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Contents Introduction Gait generation Balance control Experiment
First phase: walking pattern generation Second phase: yawing moment cancellation Balance control Inverted pendulum model Compensation method Experiment Conclusions Robot Intelligence Technology Lab.
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1. Introduction Humanoid robot HanSaRam Stability
Biped (two-legged) robot. Expected to eventually evolve into one with a human-like body and intelligence. HanSaRam Meaning ‘one human being’ in Korean A humanoid robot undergoing continual design and development in the Robot Intelligence Technology Laboratory at KAIST since 2000 Stability ZMP (Zero Moment Point) must always reside in the convex hull of all contact points on the ground plane. ZMP: the point on the ground plane at which the total moments due to ground contacts becomes zero, proposed by Vukobratovic Robot Intelligence Technology Lab.
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1. Introduction HSR-I, II: 2000
HSR-IV HSR-V HSR-VI HSR-I, II: 2000 - Easy to make and control, Lack of torque HSR-III: 2001 - 12 DC motors and 10 RC servo motors - Human-like body - No sensor feedback HSR-IV: 2002 - 12 RC servo motors - Feedback using force sensors - No upper body HSR-V: 2003 - 12 DC motors and 16 RC servo motors Feedback using force sensors - Human-like body HSR-VI: 2004 - 12 DC motors and 13 RC servo motors Feedback using force sensors - Improved performance Robot Intelligence Technology Lab.
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1. Introduction Robot Intelligence Technology Lab.
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2. Two Phase Off-line Gait Generation
Control architecture Robot (HSR-V) ZMP Compensator Two Phase Off-line Gait Generator < Off-Line > < On-Line > ZMP Calculator Step Time, Step Size, Maximum Foot Height Gait Generation Using Simulator 1st Phase Yawing Moment Cancellation Trajectory Compensated Reference Joint Angle Real Joint Angle Feedback Sensor Data Measured ZMP Data Reference 2nd Phase Robot Intelligence Technology Lab.
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2. Two Phase Off-line Gait Generation
First phase: walking pattern generation Posture vector Robot Intelligence Technology Lab.
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2. Two Phase Off-line Gait Generation
Gait generation (Huang 2000) 1) Foot trajectory Robot Intelligence Technology Lab.
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2. Two Phase Off-line Gait Generation
2) Hip trajectory Robot Intelligence Technology Lab.
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2. Two Phase Off-line Gait Generation
3rd order spline interpolation Interpolate at Match velocity and acceleration values at every via points. Calculate the trajectories of ankle and hip joints. Robot Intelligence Technology Lab.
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2. Two Phase Off-line Gait Generation
Second phase: yawing moment compensation ZMP equation: Robot Intelligence Technology Lab.
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2. Two Phase Off-line Gait Generation
Robot Intelligence Technology Lab.
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2. Two Phase Off-line Gait Generation
Off-line yawing moment cancellation: Above equation can be solved by numerical double integration. Robot Intelligence Technology Lab.
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3. On-line Balance control
Robot modeling for online compensation Inverted Pendulum Model < Lumped upper body model > < Simplified upper body model > Robot Intelligence Technology Lab.
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3. On-line Balance control
On-line compensation equation Robot Intelligence Technology Lab.
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3. On-line Balance control
Continued Robot Intelligence Technology Lab.
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3. On-line Balance control
Continued Robot Intelligence Technology Lab.
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4. Experiments Two phase off-line gait generation
Robot Intelligence Technology Lab.
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Online Balance Control
4. Experiments Online Balance Control Robot Intelligence Technology Lab.
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4. Experiments ZMP trajectory without compensation (pre-designed ZMPx = 15mm) (a) ZMP trajectory (5 degree tilt) (b) waist angle trajectory. Robot Intelligence Technology Lab.
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(b) waist angle trajectory.
4. Experiments ZMP trajectory with compensation ( at 5 degree tilt) (a) ZMP trajectory. (b) waist angle trajectory. Robot Intelligence Technology Lab.
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Ongoing research: HuroSot
4. Experiments Ongoing research: HuroSot Robot Intelligence Technology Lab.
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5. Conclusions This paper has presented an overview of research development in humanoid robot HanSaRam. The off-line gait generation method and the on-line compensation algorithm was proposed. By putting arm-swinging motion in the off-line gait generation stage, the yawing moment could be cancelled. ZMP compensation has been accomplished by moving the upper body front and rear in on-line walking. Robot Intelligence Technology Lab.
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