def setUp(self):
domain_fname = '../domains/namo_domain/namo.domain'
d_c = main.parse_file_to_dict(domain_fname)
domain = parse_domain_config.ParseDomainConfig.parse(d_c)
hls = hl_solver.FFSolver(d_c)
def get_plan(p_fname, plan_str=None):
p_c = main.parse_file_to_dict(p_fname)
problem = parse_problem_config.ParseProblemConfig.parse(p_c, domain)
abs_problem = hls.translate_problem(problem)
if plan_str is not None:
return hls.get_plan(plan_str, domain, problem)
return hls.solve(abs_problem, domain, problem)
self.move_no_obs = get_plan('../domains/namo_domain/namo_probs/move_no_obs.prob')
self.move_w_obs = get_plan('../domains/namo_domain/namo_probs/move_w_obs.prob')
self.move_grasp = get_plan('../domains/namo_domain/namo_probs/move_grasp.prob')
self.move_grasp_moveholding = get_plan('../domains/namo_domain/namo_probs/moveholding.prob')
self.place = get_plan('../domains/namo_domain/namo_probs/place.prob')
self.putaway = get_plan('../domains/namo_domain/namo_probs/putaway.prob')
self.putaway3 = get_plan('../domains/namo_domain/namo_probs/putaway3.prob')
self.putaway2 = get_plan('../domains/namo_domain/namo_probs/putaway2.prob', ['0: MOVETO PR2 ROBOT_INIT_POSE PDP_TARGET2',
'1: GRASP PR2 CAN0 TARGET0 PDP_TARGET2 PDP_TARGET0 GRASP0',
'2: MOVETOHOLDING PR2 PDP_TARGET0 PDP_TARGET2 CAN0 GRASP0',
'3: PUTDOWN PR2 CAN0 TARGET2 PDP_TARGET2 ROBOT_END_POSE GRASP0'])
def setUp(self):
domain_fname, problem_fname = '../domains/namo_domain/namo.domain', '../domains/namo_domain/namo_probs/namo_1234_1.prob'
self.d_c = main.parse_file_to_dict(domain_fname)
self.domain = parse_domain_config.ParseDomainConfig.parse(self.d_c)
self.p_c = main.parse_file_to_dict(problem_fname)
self.hls = hl_solver.FFSolver(self.d_c)
def load_environment(domain_file, problem_file):
domain_fname = domain_file
d_c = main.parse_file_to_dict(domain_fname)
domain = parse_domain_config.ParseDomainConfig.parse(d_c)
p_fname = problem_file
p_c = main.parse_file_to_dict(p_fname)
problem = parse_problem_config.ParseProblemConfig.parse(p_c, domain)
params = problem.init_state.params
hls = hl_solver.FFSolver(d_c)
plan = hls.get_plan(
['0: GRASP BAXTER CAN0 TARGET0 PDP_TARGET0 EE_TARGET0 ROBOT_END_POSE'],
domain, problem)
return domain, problem, params, plan
def main():
d_c = parse_file_to_dict(domain_fname)
domain = parse_domain_config.ParseDomainConfig.parse(d_c)
hls = hl_solver.FFSolver(d_c)
p_c = parse_file_to_dict(problem_fname)
problem = parse_problem_config.ParseProblemConfig.parse(p_c, domain)
plan = hls.get_plan(PLAN_SWAP_STR, domain, problem)
_test_plan(plan,
'SQP',
plot=False,
animate=False,
verbose=True,
early_converge=True)
def setUp(self):
domain_fname = '../domains/can_domain/can.domain'
d_c = main.parse_file_to_dict(domain_fname)
domain = parse_domain_config.ParseDomainConfig.parse(d_c)
hls = hl_solver.FFSolver(d_c)
def get_plan(p_fname, plan_str=None):
p_c = main.parse_file_to_dict(p_fname)
problem = parse_problem_config.ParseProblemConfig.parse(
p_c, domain)
abs_problem = hls.translate_problem(problem)
if plan_str is not None:
return hls.get_plan(plan_str, domain, problem)
# view = OpenRAVEViewer()
# robot = problem.init_state.params['pr2']
# table = problem.init_state.params['table']
# cans = []
# for param_name, param in problem.init_state.params.iteritems():
# if "can" in param_name:
# cans.append(param)
# objs = [robot, table]
# objs.extend(cans)
# view.draw(objs, 0, 0.7)
return hls.solve(abs_problem, domain, problem)
self.bmove = get_plan(
'../domains/can_domain/can_probs/can_1234_0.prob')
# self.move_obs = get_plan('../domains/can_domain/can_probs/move_obs.prob')
# self.move_no_obs = get_plan('../domains/can_domain/can_probs/move.prob')
# self.move_no_obs = get_plan('../domains/can_domain/can_probs/can_1234_0.prob')
# self.grasp = get_plan('../domains/can_domain/can_probs/grasp.prob')
# self.grasp = get_plan('../domains/can_domain/can_probs/grasp_rot.prob')
# self.grasp_gen = get_plan('../domains/can_domain/can_probs/can_grasp_1234_0.prob')
# self.moveholding = get_plan('../domains/can_domain/can_probs/can_1234_0.prob', ['0: MOVETOHOLDING PR2 ROBOT_INIT_POSE ROBOT_END_POSE CAN0'])
# # self.moveholding = get_plan('../domains/can_domain/can_probs/can_1234_0.prob')
# self.gen_plan = get_plan('../domains/can_domain/can_probs/can_1234_0.prob')
# self.grasp_obstructs1 = get_plan('../domains/can_domain/can_probs/can_grasp_1234_1.prob', ['0: GRASP PR2 CAN0 TARGET0 PDP_TARGET0 EE_TARGET0 PDP_TARGET0'])
# self.grasp_obstructs0 = get_plan('../domains/can_domain/can_probs/can_grasp_1234_0.prob', ['0: GRASP PR2 CAN0 TARGET0 PDP_TARGET0 EE_TARGET0 PDP_TARGET0'])
# self.grasp_obstructs = get_plan('../domains/can_domain/can_probs/can_grasp_1234_4.prob', ['0: GRASP PR2 CAN0 TARGET0 PDP_TARGET0 EE_TARGET0 PDP_TARGET0'])
if VIEWER:
self.viewer = OpenRAVEViewer.create_viewer()
else:
self.viewer = None
def test_realistic_training(self):
domain_fname = '../domains/baxter_domain/baxter.domain'
d_c = main.parse_file_to_dict(domain_fname)
domain = parse_domain_config.ParseDomainConfig.parse(d_c)
hls = hl_solver.FFSolver(d_c)
def get_plan(p_fname, plan_str=None):
p_c = main.parse_file_to_dict(p_fname)
problem = parse_problem_config.ParseProblemConfig.parse(
p_c, domain)
abs_problem = hls.translate_problem(problem)
if plan_str is not None:
return hls.get_plan(plan_str, domain, problem)
return hls.solve(abs_problem, domain, problem)
result = []
#8 doesn't work
plan_list = [1, 2, 3]
for i in [1]:
print "Generating plan_{}".format(i)
prob_file = '../domains/baxter_domain/baxter_training_probs/grasp_training_4321_{}.prob'.format(
i)
plan_str = [
'0: MOVETO BAXTER ROBOT_INIT_POSE PDP_TARGET0',
'1: GRASP BAXTER CAN0 TARGET0 PDP_TARGET0 EE_TARGET0 PDP_TARGET1',
'2: MOVETOHOLDING BAXTER PDP_TARGET1 ROBOT_END_POSE CAN0'
]
plan = get_plan(prob_file, plan_str)
geom = plan.params['can0'].geom
plan.params['can0'].geom = GreenCan(geom.radius, geom.height)
solver = robot_ll_solver.RobotLLSolver()
def viewer():
return OpenRAVEViewer.create_viewer(plan.env)
timesteps = solver.solve(plan,
callback=viewer,
n_resamples=5,
verbose=False)
def test_prg(self, prob_file):
domain_fname = '../domains/namo_domain/namo.domain'
problem_fname = prob_file
d_c = main.parse_file_to_dict(domain_fname)
p_c = main.parse_file_to_dict(problem_fname)
s_c = {'LLSolver': 'NAMOSolver', 'HLSolver': 'FFSolver'}
domain = parse_domain_config.ParseDomainConfig.parse(d_c)
hls = hl_solver.FFSolver(d_c)
# """
# Initialize Suggester
# """
# import ipdb; ipdb.set_trace()
# suggester = PostLearner({}, "prg_testing", space = "CONFIG")
# if not suggester.trained:
# feature_function = None
# suggester.train(domain, problem, feature_function)
# """
# End of Suggester
# """
plan, msg = pr_graph.p_mod_abs(d_c, p_c, s_c,suggester = None, debug=True)
self.assertEqual(len(plan.get_failed_preds()), 0)