Changing Objectives of Optimization

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Transcript Changing Objectives of Optimization

Changing Objectives
of Optimization
유리
Movement Research Lab
Our approach
Muscle optimization criteria
- Muscle activation
- Joint torque
- Metabolic energy expenditure
Evaluation
- kinematic data
- energy consumption
2
Issue
- No difference in kinematic data
- because only foot location was modulated, modulated reference
motion is barely changed.
Solution
-Modulating the whole reference motion
3
Modulating motion
We just modulate step location in Original
motion for balancing.
We want to change the motion more!
Method
-In trajectory optimization,
add CMA parameters and motion editor to give bigger
search space for CMA
- CMA can find suitable motion due to criterion
5
Modified Trajectory
Optimization
Original reference motion
CMA
Step length
Motion
editor
Frequency
Foot position
We add CMA parameter
-step length
-frequency
We make motion editor
where the frequency, step
length and velocity of
motion can be modulated.
Modulated reference
motion
6
Motion Sampling
Motion frequency =
𝑠𝑖𝑛𝑔𝑙𝑒 𝑠𝑑𝑒𝑝
#π‘“π‘Ÿπ‘Žπ‘šπ‘’
Original motion frequency π‘“π‘œπ‘Ÿπ‘–
Desired motion frequency π‘“π‘‘π‘’π‘ π‘–π‘Ÿπ‘’π‘‘
Sampling ratio =
π‘“π‘œπ‘Ÿπ‘–
π‘“π‘‘π‘’π‘ π‘–π‘Ÿπ‘’π‘‘
Motion Sampling
desired
motion
Original
motion
Frequency
0.5
0.6
0.7
#frame
200
167
143
Up-sampling
slow
Sampling ratio = 0.65 / 0.5 = 1.3
Down-sampling
fast
Motion segment
Original motion
0
2
78
segment
l
Motion graph
L
*L = L1 + L2(interpolation)
R1
306
230
154
r
L1
458
382
R1
L2
532
Frequency
Original motion
Modulated motion
problems
Segment L μ—μ„œλŠ” λͺ¨μ…˜μ˜ λ³€ν™”κ°€ μƒκ²ΌμœΌλ‚˜,
μ›ν•˜λ˜ λ°©ν–₯이 μ•„λ‹ˆλ‹€.
Frequency만 쀄어듀어야 ν•˜λŠ”λ°(천천히 κ±·λŠ”),
step lengthκ°€ λŠ˜μ–΄λ‚¬λ‹€.