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Balakumar Sundaralingam
2023-10-26 04:17:19 -07:00
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#
# Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
# property and proprietary rights in and to this material, related
# documentation and any modifications thereto. Any use, reproduction,
# disclosure or distribution of this material and related documentation
# without an express license agreement from NVIDIA CORPORATION or
# its affiliates is strictly prohibited.
#
""" Example computing collisions using curobo
"""
# Third Party
import torch
# CuRobo
from curobo.types.base import TensorDeviceType
from curobo.wrap.model.robot_world import RobotWorld, RobotWorldConfig
if __name__ == "__main__":
robot_file = "franka.yml"
world_file = "collision_test.yml"
tensor_args = TensorDeviceType()
# config = RobotWorldConfig.load_from_config(robot_file, world_file, pose_weight=[10, 200, 1, 10],
# collision_activation_distance=0.0)
# curobo_fn = RobotWorld(config)
robot_file = "franka.yml"
world_config = {
"cuboid": {
"table": {"dims": [2, 2, 0.2], "pose": [0.4, 0.0, 0.3, 1, 0, 0, 0]},
"cube_1": {"dims": [0.1, 0.1, 0.2], "pose": [0.4, 0.0, 0.5, 1, 0, 0, 0]},
},
"mesh": {
"scene": {
"pose": [1.5, 0.080, 1.6, 0.043, -0.471, 0.284, 0.834],
"file_path": "scene/nvblox/srl_ur10_bins.obj",
}
},
}
tensor_args = TensorDeviceType()
config = RobotWorldConfig.load_from_config(
robot_file, world_file, collision_activation_distance=0.0
)
curobo_fn = RobotWorld(config)
q_sph = torch.randn((10, 1, 1, 4), device=tensor_args.device, dtype=tensor_args.dtype)
q_sph[..., 3] = 0.2
d = curobo_fn.get_collision_distance(q_sph)
print(d)
q_s = curobo_fn.sample(5, mask_valid=False)
d_world, d_self = curobo_fn.get_world_self_collision_distance_from_joints(q_s)
print("Collision Distance:")
print("World:", d_world)
print("Self:", d_self)