Name
Title | ||
|---|---|---|
Human lift-up motion generation based on identification of time-variant performance index |
Abstract | ||
|---|---|---|
This paper deals with the method to generate human whole body motion by identifying performance index to be optimized. Most of the human motion in daily life, including a "lift-up an object" motion, is complex and the performance index are regarded to vary during the motion. Lift-up an object motion is generated by solving inverse kinematics. The experimentally measured trajectory of the hand is given and the rest of the degree of freedom is determined by optimizing a performance index that blends several sub-functions. The coefficients for each sub-function are identified through the motion generation simulation. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IRDS.2002.1041645 | Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference |
Keywords | Field | DocType |
biomechanics,motion control,performance index,robot kinematics,body motion,human motion,inverse kinematics,lift-up motion,motion generation,optimization,performance index,trajectory | Lift (force),Computer vision,Motion control,Motion field,Kinematics,Inverse kinematics,Computer science,Robot kinematics,Control engineering,Artificial intelligence,Motion estimation,Trajectory | Conference |
Volume | Citations | PageRank |
3 | 1 | 0.36 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miyata, N. | 1 | 16 | 2.04 |
| Oguri, K. | 2 | 1 | 0.36 |
| Jun Ota | 3 | 28 | 7.11 |
| Tatsuo Arai | 4 | 728 | 177.57 |