import numpy as np import os import glob import re from pathlib import Path from pydrake.all import ( DiagramBuilder, MultibodyPlant, AddMultibodyPlantSceneGraph, Parser, RigidTransform, StartMeshcat, MeshcatVisualizer, ) ROBOT_FAKE_HAND_PATH = "models/g1/g1_29dof.urdf" ROBOT_SPHERE_HAND_PATH = "models/g1/g1_29dof_spherehand.urdf" LARGEBOX_PATH = "models/largebox/largebox.urdf" CHAIR_PATH = "models/chair/chair.urdf" def create_plant( robot_model_path: str, object_model_path: str | list[str] | None = None ): builder = DiagramBuilder() plant = MultibodyPlant(1e-3) plant, scene_graph = AddMultibodyPlantSceneGraph(builder, plant=plant) parser = Parser(plant=plant, scene_graph=scene_graph) parser.AddModels(robot_model_path) if object_model_path is not None: if isinstance(object_model_path, list): parser.SetAutoRenaming(True) for model_path in object_model_path: parser.AddModels(model_path) else: parser.AddModels(object_model_path) parser.AddModels("models/ground_box.sdf") plant.WeldFrames( plant.world_frame(), plant.GetFrameByName("ground_link"), RigidTransform(np.array([0, 0, -0.5])), ) plant.Finalize() meshcat = StartMeshcat() vis = MeshcatVisualizer.AddToBuilder(builder, scene_graph, meshcat) diagram = builder.Build() return plant, vis, diagram def draw_q_knots(vis, plant, diagram, q_knots, fps): vis.DeleteRecording() vis.StartRecording() t_knots = np.arange(len(q_knots)) * fps context = diagram.CreateDefaultContext() plant_context = plant.GetMyMutableContextFromRoot(context) vis_context = vis.GetMyMutableContextFromRoot(context) for t, q in zip(t_knots, q_knots): context.SetTime(t) plant.SetPositions(plant_context, q) vis.ForcedPublish(vis_context) vis.StopRecording() vis.PublishRecording() def _natural_sort_key(text: str): parts = re.findall(r"\d+|\D+", text) key = [] for part in parts: if part.isdigit(): key.append((0, int(part))) else: key.append((1, part.lower())) return tuple(key) def find_files(base_path: str, filter: str = "", extension: str = ".npz"): pattern = os.path.join(base_path, f"*{filter}*{extension}") files = glob.glob(pattern) return sorted(files, key=lambda p: _natural_sort_key(os.path.basename(p))) def visualize_robot_object(): robot_object_files = find_files("robot-object", filter="original") plant, vis, diagram = create_plant(ROBOT_FAKE_HAND_PATH, LARGEBOX_PATH) for robot_object_file in robot_object_files: print(str(Path(robot_object_file).stem)) data = np.load(robot_object_file) q_knots = data["qpos"] fps = data["fps"] draw_q_knots(vis, plant, diagram, q_knots, 1 / fps) input() def visualize_robot_terrain(): robot_terrain_files = find_files("robot-terrain", filter="z_scale_1.0") for robot_terrain_file in robot_terrain_files: file_name = str(Path(robot_terrain_file).stem) print(file_name) object_folder_name = "models/terrain/" + file_name[:8] z_scale = file_name[8:] object_model_path = object_folder_name + "/multi_boxes" + z_scale + ".urdf" plant, vis, diagram = create_plant(ROBOT_SPHERE_HAND_PATH, object_model_path) data = np.load(robot_terrain_file) q_knots = data["qpos"] fps = data["fps"] draw_q_knots(vis, plant, diagram, q_knots, 1 / fps) input() def visualize_robot_object_terrain(): robot_object_terrain_files = find_files("robot-object-terrain") for robot_object_terrain_file in robot_object_terrain_files: file_name = str(Path(robot_object_terrain_file).stem) print(file_name) terrain_folder_name = "models/terrain/" + file_name[:8] if "z_scale" in file_name: z_scale = file_name[-12:] else: z_scale = "_z_scale_1.0" terrain_model_path = terrain_folder_name + "/multi_boxes" + z_scale + ".urdf" if "original" in file_name: object_model_path = [CHAIR_PATH, terrain_model_path] else: chair_scale = file_name[9:25] chair_model_path = "models/chair/" + chair_scale + ".urdf" object_model_path = [chair_model_path, terrain_model_path] plant, vis, diagram = create_plant(ROBOT_SPHERE_HAND_PATH, object_model_path) data = np.load(robot_object_terrain_file) q_knots = data["qpos"] fps = data["fps"] draw_q_knots(vis, plant, diagram, q_knots, 1 / fps) input() if __name__ == "__main__": task = "object-terrain" if task == "object": visualize_robot_object() elif task == "terrain": visualize_robot_terrain() elif task == "object-terrain": visualize_robot_object_terrain()