Repository for the paper "Generative Adversarial Network to Learn Valid Distributions of Robot Configurations for Inverse Kinematics and Constrained Motion Planning"
Thanks for your brilliant contribution!!
I have encountered this problem when I'm trying to run notebooks/motion_planning_sampling/panda.ipynb.
is_collide = True
while is_collide is True:
q = rob_simple_sampler.sample().flatten()
res = projector_constraint.project(q)
q, success, func_calls = res['q'], res['stat'], res['nfev']
#print(projector_constraint.project(q))
is_collide = rob_col_checker.check_collision(q)
set_q_std(q.flatten())
NameError Traceback (most recent call last)
<ipython-input-40-dc57b1fb1684> in <module>
3 while is_collide is True:
4 q = rob_simple_sampler.sample().flatten()
----> 5 res = projector_constraint.project(q)
6 q, success, func_calls = res['q'], res['stat'], res['nfev']
7 #print(projector_constraint.project(q))
NameError: name 'projector_constraint' is not defined
My environment: ubuntu18.04, numpy1.19.03, pinocchio2.6.0, pybullet3.1.3, tensorflow2.4.1, and I have installed everything according to the Installation Procedure.
It seems like the ·'projector_constraint' class cannot be found.
Hi, Thanks for sharing your excellent work!
Could you please specify the environment requirement, such as the versions of python, numpy, tensorflow, tensorflow-probability, etc.?
Thanks in advance!
Best,
Fei
How should I generate my own dataset
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