Title
Biped walking pattern generation based on spatially quantized dynamics
Abstract
We present a biped walking pattern generation based on a new way of system discretization named spatially quantized dynamics (SQD). In SQD, a continuous system is discretized by a constant unit length along the walk direction, and the dynamics is represented by a recurrence formula for a unit length motion, taking variable period for each cycle. Using SQD modelling, we can generate a biped gait by taking three steps;1)Design a walking pattern only considering kinematics in the sagittal plane, 2) Calculate the ZMP and velocity by optimization of the spatially quantized dynamics, 3) Add hip lateral motion for 3D dynamic balance. It is shown that we can easily generate a biped gait with stretched knees and a gait for large step climbing. The validity of the generated patterns are confirmed by simulations.
Year
DOI
Venue
2017
10.1109/HUMANOIDS.2017.8246933
2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids)
Keywords
Field
DocType
SQD modelling,biped gait,spatially quantized dynamics,3D dynamic balance,generated patterns,biped walking pattern generation,system discretization,continuous system,constant unit length,walk direction,unit length motion,kinematics
Discretization,Kinematics,Gait,Computer science,Control theory,Dynamic balance,Quantization (physics),Sagittal plane,Climbing,Trajectory
Conference
ISBN
Citations 
PageRank 
978-1-5386-4679-3
5
0.54
References 
Authors
10
8
Name
Order
Citations
PageRank
Shuuji Kajita13008271.45
Mehdi Benallegue23010.89
R. Cisneros Limon383.64
Takeshi Sakaguchi4468.80
Shinichiro Nakaoka546132.58
Mitsuharu Morisawa664749.09
Kenji Kaneko72742212.93
Fumio KANEHIRO82304204.18