mbed92
/ soft_grip_repo_supplement.py
Last active
September 23, 2023 10:15
[PhD Reviews] This code serves the purpose of extending experiments performed during a PhD study. Its primary focus is on designing and training a fully connected neural network (FC) using the PyTorch framework. The task involves regression of the stiffness parameter using data collected from an IMUs attached to a 2-finger gripper.
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| import os | |
| import pickle | |
| import numpy as np | |
| import torch | |
| import torch.nn as nn | |
| from sklearn.model_selection import KFold | |
| from torch.utils.data import Dataset, DataLoader | |
| from torch.utils.tensorboard import SummaryWriter | |
| from torchsummary import summary |
mbed92
/ statemachine_advanced_example.py
Last active
August 27, 2023 18:39
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| from statemachine import StateMachine, State, Transition | |
| # define states for a master (way of passing args to class) | |
| options = [ | |
| {"name": "IDLE", "initial": True, "value": "idle"}, # 0 | |
| {"name": "A", "initial": False, "value": "a"}, # 1 | |
| {"name": "B", "initial": False, "value": "b"}, # 2 | |
| {"name": "C", "initial": False, "value": "c"}, # 3 | |
| {"name": "F", "initial": False, "value": "f"}] # 4 |