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Functions4,056 in github.com/RoboVerseOrg/RoboVerse

↓ 2 callersFunctionfirst
(pred, default=None)
scripts/policy/bridge_sim_client.py:84
↓ 2 callersFunctionflat_state
()
tools/robosuite_integration/robosuite_rollout.py:218
↓ 2 callersFunctionflatten_observation
Example: Flatten TensorState into 1D observation tensor for RL algorithms. This function demonstrates how to extract and concatenate various stat
roboverse_pack/tasks/task_template.py:204
↓ 2 callersFunctionformat_list_field
(value)
docs/source/dataset_benchmark/tasks/generate_task_docs.py:102
↓ 2 callersMethodforward
(self, x: Union[np.ndarray, torch.Tensor])
roboverse_learn/il/utils/rotation_transformer.py:73
↓ 2 callersMethodforward
(self, agent_img, hand_img, proprio)
scripts/policy/bc_model.py:56
↓ 2 callersFunctionforward_pass
(data, policy)
roboverse_learn/il/policies/act/imitate_episodes.py:316
↓ 2 callersMethodforward_pass
(self, data)
roboverse_learn/il/policies/act/train.py:60
↓ 2 callersFunctionframe
()
scripts/render_native_gallery.py:218
↓ 2 callersFunctionframe
(env, n=5)
tests/test_liberoplus_passthrough.py:192
↓ 2 callersMethodfrom_joint_targets
Build a joint target command.
roboverse_pack/teleop/flow.py:59
↓ 2 callersFunctiongather_along_dim_with_dim_single
This function indexes out a target dimension of a tensor in a structured way, by allowing a different value to be selected for each member of
roboverse_learn/il/utils/tensor_util.py:675
↓ 2 callersFunctiongenerate_grasp_views
View sampling on a unit sphere using Fibonacci lattices. Ref: https://arxiv.org/abs/0912.4540 Input: N: [int]
third_party/gsnet/utils/loss_utils.py:45
↓ 2 callersMethodget
(self, out=None)
roboverse_learn/il/policies/dp/shared_memory/shared_memory_queue.py:110
↓ 2 callersMethodget_action_and_value
(self, x, action=None)
tools/mjlab_integration/policy_replay/train_metasim_cartpole.py:143
↓ 2 callersMethodget_action_and_value
(self, x, action=None)
roboverse_learn/rl/clean_rl/ppo.py:82
↓ 2 callersFunctionget_actions
(all_actions, action_idx: int, num_envs: int, robot: RobotCfg)
scripts/advanced/replay_demo.py:73
↓ 2 callersFunctionget_active_joint_indices
(articulation: sapien.Articulation, joint_names: Sequence[str])
roboverse_pack/tasks/simpler_env/_native/control/ruckig_utils.py:50
↓ 2 callersFunctionget_args_parser
()
roboverse_learn/il/policies/act/detr/main.py:12
↓ 2 callersFunctionget_body_type
(static=False)
roboverse_learn/il/utils/pymunk_util.py:11
↓ 2 callersFunctionget_indices_from_substring
Get indices of items matching the candidates patterns. Args: candidates_list: Single pattern or list of patterns (supports regex if use_r
roboverse_pack/utils/humanoid_utils.py:140
↓ 2 callersMethodget_obs
(self, overlay=True)
roboverse_pack/tasks/simpler_env/_metasim/coke_task.py:251
↓ 2 callersMethodget_obs
(self)
roboverse_pack/tasks/simpler_env/_native/put_on.py:314
↓ 2 callersMethodget_obs
(self)
roboverse_pack/tasks/simpler_env/_native/move_near.py:294
↓ 2 callersMethodget_obs
(self)
roboverse_pack/tasks/simpler_env/_native/drawer.py:153
↓ 2 callersMethodget_obs
(self)
roboverse_pack/tasks/simpler_env/_native/pick_object.py:214
↓ 2 callersMethodget_obs
(self)
roboverse_pack/tasks/simpler_env/_native/place.py:242
↓ 2 callersFunctionget_profile
Resolve a named teleoperation transform profile.
roboverse_pack/teleop/transforms.py:113
↓ 2 callersFunctionget_reward_fn
Resolve a reward function by name from a list or module path.
roboverse_pack/utils/humanoid_utils.py:195
↓ 2 callersMethodget_selected_joint
Get currently selected joint name
get_started/obj_layout/object_layout_task.py:214
↓ 2 callersMethodget_selected_joint
Get currently selected joint name
get_started/obj_layout/object_layout.py:199
↓ 2 callersMethodget_selected_joint
Return the currently selected joint name, if any.
roboverse_pack/asset/table_display.py:200
↓ 2 callersMethodget_validation_dataset
(self)
roboverse_learn/il/datasets/base_dataset.py:32
↓ 2 callersFunctionget_world_size
()
roboverse_learn/il/policies/act/detr/util/misc.py:386
↓ 2 callersMethodgoal_sampler
ManiSkill TwoRobotPickCube reset: cube X=U(-0.05,0.05) Y=-0.15-U(0,0.1)+0.05; goal in air.
roboverse_pack/tasks/maniskill/two_robot_pick_cube.py:62
↓ 2 callersFunctiongrab_obs
(o: dict)
tools/robosuite_integration/robosuite_rollout.py:221
↓ 2 callersMethodinit_joint_settings_from_config
Reorder gains/angles according to the provided joint name list.
scripts/unitree_deploy/config.py:209
↓ 2 callersMethodis_final_subtask
(self, *args, **kwargs)
roboverse_pack/tasks/simpler_env/_passthrough.py:157
↓ 2 callersFunctionis_main_process
()
roboverse_learn/il/policies/act/detr/util/misc.py:398
↓ 2 callersFunctionis_status_success
(log_dir: str, demo_idx: int)
scripts/advanced/collect_demo.py:368
↓ 2 callersFunctionjoin_dimensions
Joins all dimensions between dimensions (@begin_axis, @end_axis) into a flat dimension, for all tensors in nested dictionary or list or tuple
roboverse_learn/il/utils/tensor_util.py:540
↓ 2 callersFunctionleaves
(o, p="")
tests/test_simpler_env_passthrough.py:88
↓ 2 callersFunctionlight_color
(color: SpaceDebugColor)
roboverse_learn/il/utils/pymunk_override.py:241
↓ 2 callersFunctionload_all_objects_data
Load the entire objects_init_list.json and return as a dict.
scripts/advanced/gpt_gen.py:32
↓ 2 callersFunctionload_all_robots_data
Load the entire robots_init_list.json and return as a dict.
scripts/advanced/gpt_gen.py:41
↓ 2 callersFunctionload_bc_into_actor_critic
Copy a BC MLP's Linear weights into an rsl-rl ``ActorCritic`` actor. Args: actor_critic: an rsl-rl ``ActorCritic`` (or any module exposin
roboverse_learn/fusion/bc_warmstart.py:73
↓ 2 callersFunctionload_data
(dataset_dir, num_episodes, camera_names, batch_size_train, batch_size_val)
roboverse_learn/il/policies/act/utils.py:209
↓ 2 callersFunctionmake_native_handler
Build a launched MetaSim ``MujocoHandler`` around a LIBERO model_file. The LIBERO combined MJCF is fed to MetaSim's handler as the *scene* MJCF
roboverse_pack/tasks/libero/native_repro.py:162
↓ 2 callersFunctionmake_policy
(policy_class, policy_config)
roboverse_learn/il/policies/act/imitate_episodes.py:121
↓ 2 callersFunctionmaniskill_panda_wristcam_cfg
ManiSkill PandaWristCam (panda_v3.urdf: 7 arm + 2 fingers + wrist camera link).
roboverse_pack/tasks/maniskill/_native/recipe.py:111
↓ 2 callersFunctionmaniskill_sim_params
ManiSkill ``SimConfig`` (default tabletop) mapped onto the opt-in SimParamCfg recipe knobs.
roboverse_pack/tasks/maniskill/_native/recipe.py:160
↓ 2 callersFunctionmetasim_full_rollout
Launch a MujocoHandler with the given scenario and step it. We bypass `_set_dof_targets` (which routes via per-robot joint names) and write d
tools/mjlab_integration/metasim_rollout.py:123
↓ 2 callersFunctionminkowski_collate_fn
(list_data)
third_party/gsnet/dataset/graspnet_dataset.py:237
↓ 2 callersFunctionmjcf_to_urdf
Convert an MJCF XML file to a URDF XML file without using urdfpy.
scripts/conversion/mjcf2urdf.py:782
↓ 2 callersFunctionmjlab_reward
Identical to mjlab.tasks.cartpole.cartpole_env_cfg.cartpole_smooth_reward().
tools/mjlab_integration/policy_replay/debug_reward_parity.py:42
↓ 2 callersFunctionmy_reward
My port's per-step reward BEFORE the dt scaling factor.
tools/mjlab_integration/policy_replay/debug_reward_parity.py:66
↓ 2 callersMethodnetwork_initialization
(self, in_channels, out_channels, D)
third_party/gsnet/models/resnet.py:26
↓ 2 callersMethodnormalize
(self, x: torch.Tensor)
tools/mjlab_integration/policy_replay/train_metasim_cartpole.py:114
↓ 2 callersFunctionnullspace_torques
(mass_matrix, nullspace_matrix, initial_joint, joint_pos, joint_vel, joint_kp=10.0)
roboverse_pack/tasks/robosuite/_osc.py:81
↓ 2 callersMethodobj_quat
World quaternion (wxyz) of object ``name``.
roboverse_pack/tasks/maniskill/_native/base.py:89
↓ 2 callersFunctionop_determinism
(task, seed, steps, runs=2)
scripts/trajectory_simpler_env.py:221
↓ 2 callersFunctionop_record
(task, seed, steps, full, out_dir)
scripts/trajectory_simpler_env.py:190
↓ 2 callersFunctionop_replay
(path)
scripts/trajectory_simpler_env.py:207
↓ 2 callersFunctionopspace_matrices
(mass_matrix, J_full, J_pos, J_ori)
roboverse_pack/tasks/robosuite/_osc.py:71
↓ 2 callersFunctionorientation_error
(desired: np.ndarray, current: np.ndarray)
roboverse_pack/tasks/robosuite/_osc.py:65
↓ 2 callersFunctionosig
(o)
tests/test_simpler_env_passthrough.py:203
↓ 2 callersFunctionpad_sequence_single
Pad input tensor or array @seq in the time dimension (dimension 1). Args: seq (np.ndarray or torch.Tensor): sequence to be padded
roboverse_learn/il/utils/tensor_util.py:768
↓ 2 callersFunctionparse_goal
(bddl_text: str)
roboverse_pack/tasks/libero/_native_util.py:124
↓ 2 callersFunctionparse_material
Parse material/texture information from MuJoCo geom.
scripts/conversion/mjcf2urdf_no_texture.py:77
↓ 2 callersFunctionparse_material
Parse material/texture information from MuJoCo geom.
scripts/conversion/mjcf2urdf.py:71
↓ 2 callersFunctionplot_history
(train_history, validation_history, num_epochs, ckpt_dir, seed)
roboverse_learn/il/policies/act/train.py:173
↓ 2 callersFunctionplot_history
(train_history, validation_history, num_epochs, ckpt_dir, seed)
roboverse_learn/il/policies/act/imitate_episodes.py:399
↓ 2 callersFunctionplot_trajectory_pair
Plot qpos[:n_show] overlaid for a (solid) vs b (dashed) + abs diff below.
tools/mjlab_integration/plot.py:16
↓ 2 callersFunctionpolicy
(t: int)
tools/robosuite_integration/verify_native.py:37
↓ 2 callersFunctionpose_distance
(start_pose, end_pose)
roboverse_learn/il/utils/pose_trajectory_interpolator.py:13
↓ 2 callersFunctionpose_to_mat
Build homogeneous transforms (N,4,4) from batched pos (N,3) and optional quat (N,4).
roboverse_pack/tasks/libero_90/libero_kitchen_scene4_put_the_black_bowl_in_the_bottom_drawer_of_the_cabinet.py:17
↓ 2 callersFunctionpose_to_mat
Build homogeneous transforms (N,4,4) from batched pos (N,3) and optional quat (N,4). If quat is None, rotation is identity for all N.
roboverse_pack/tasks/libero_90/libero_kitchen_scene1_open_drawer_put_bowl.py:17
↓ 2 callersFunctionpose_to_mat
Build homogeneous transforms (N,4,4) from batched pos (N,3) and optional quat (N,4).
roboverse_pack/tasks/libero_90/libero_kitchen_scene4_put_the_wine_bottle_in_the_bottom_drawer_of_the_cabinet.py:17
↓ 2 callersFunctionpose_to_mat
Build homogeneous transforms (N,4,4) from batched pos (N,3) and optional quat (N,4).
roboverse_pack/tasks/libero_90/libero_kitchen_scene5_put_the_ketchup_in_the_top_drawer_of_the_cabinet.py:17
↓ 2 callersFunctionpose_to_mat
Build homogeneous transforms (N,4,4) from batched pos (N,3) and optional quat (N,4).
roboverse_pack/tasks/libero_90/libero_kitchen_scene5_put_the_black_bowl_in_the_top_drawer_of_the_cabinet.py:17
↓ 2 callersFunctionpost_process
(a)
roboverse_learn/il/policies/act/act_eval_runner.py:379
↓ 2 callersMethodpostprocess
(self, samples, device)
roboverse_learn/il/datasets/robot_image_dataset.py:162
↓ 2 callersFunctionpre_process
(s_qpos)
roboverse_learn/il/policies/act/act_eval_runner.py:374
↓ 2 callersFunctionpred_decode
(end_points)
third_party/gsnet/models/graspnet.py:103
↓ 2 callersMethodpredict_action
(self, obs)
roboverse_learn/il/runners/base_eval_runner.py:218
↓ 2 callersMethodpredict_action
VLA forward: returns (B,7) in metric/radian units (dpos, drot, gripper).
roboverse_learn/vla/OpenVLA/vla_eval.py:113
↓ 2 callersFunctionprep_image
(H,W,3) uint8 -> (1,3,H,W) normalized float tensor.
scripts/policy/bc_model.py:70
↓ 2 callersFunctionprepare
(bundle_root: Path, repo_root: Path)
scripts/prepare_box_task_assets.py:106
↓ 2 callersFunctionprojected_gravity_b
Gravity vector in body frame. Shape ``(num_envs, 3)``.
roboverse_pack/tasks/mjlab/mdp/_math.py:112
↓ 2 callersMethodpush
Push an entry (dict of key->tensor). Clones tensor values on insert. Raises KeyError if any configured key is missing from the entry.
roboverse_pack/callback_funcs/humanoid/step_funcs.py:123
↓ 2 callersMethodqvel_arm
Robot qvel with the 2 finger DOFs dropped (panda).
roboverse_pack/tasks/maniskill/_native/base.py:107
↓ 2 callersFunctionrandomize_prop_by_op
Perform data randomization based on the given operation and distribution. Args: data: The data tensor to be randomized. Shape is (dim_0,
roboverse_pack/tasks/beyondmimic/metasim/configs/cfg_randomizers.py:487
↓ 2 callersFunctionraw
()
scripts/spike_metasim_full_parity.py:143
↓ 2 callersFunctionraw
()
scripts/render_metasim_1to1_gallery.py:46
↓ 2 callersFunctionremap_libero_model
Rebase a LIBERO demo's embedded MJCF to local assets + make it dm_control-safe. Collector machine varies by suite (``/Users/yifengz`` for object/
tools/libero_integration/libero_replay.py:51
↓ 2 callersFunctionrender_frame_callback
(frame_index: int, session: object)
scripts/advanced/run_bidexbench_cube_reach.py:458
↓ 2 callersFunctionrender_qpos_sequence
Render an RGB frame for each qpos by forward-kinematics only (no stepping).
tools/robosuite_integration/render.py:13
↓ 2 callersFunctionreplay
(task_key: str, episodes: int, h5_path: str | None = None)
tools/maniskill_integration/replay_demo.py:31
↓ 2 callersFunctionreplay_to_video
Replay qpos/qvel onto a fresh model and write an mp4. Returns out path or None.
tools/mjlab_integration/render.py:18
↓ 2 callersMethodreset
Reset selected envs (defaults to all). ``seed`` is forwarded to the handler when supported, so the ``env.reset(seed=)`` contract reac
roboverse_pack/tasks/humanoid/base/base_legged_robot.py:256
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