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utils.py
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# Coordinated Spline Motion and Robot Control Project
#
# Copyright (c) 2017 Olga Petrova <[email protected]>
# Advisor: Pavel Pisa <[email protected]>
# FEE CTU Prague, Czech Republic
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
#
# In 2017, project funded by PiKRON s.r.o. http://www.pikron.com/
import numpy as np
def param_correction(start, params, order):
"""
Parameter correction for coordinate movement. Function prevents accumulating
of numeric error in parameters due to float rounding during coordinate movement.
:param start: Starting position of movement.
:param params: Parameters of coordinate movement.
:param order: Order of spline.
:return: Corrected parameters.
"""
pos = np.round(start.copy())
oldpos = np.round(start.copy())
pos_not_rounded = np.round(start.copy())
for i in range(len(params)):
param = np.reshape(params[i], [order, len(start)], order='F')
pos += np.sum(np.round(param), axis=0)
pos_not_rounded += np.sum(param, axis=0)
diff = pos - pos_not_rounded
param[0,:] = np.round(param[0]) - np.round(diff)
pos = oldpos + np.sum(param, axis=0)
oldpos = pos.copy()
params[i] = np.reshape(np.round(param.T), [len(start)*order], order='C')
return params