From fb7514ad38fd7d0bb7761beda6c244befa61f9d6 Mon Sep 17 00:00:00 2001 From: craipy Date: Fri, 29 Nov 2024 17:00:30 +0800 Subject: [PATCH] add the sim2sim code on mujoco --- README.md | 51 +++++++++- deploy/deploy_mujoco/configs/g1.yaml | 26 +++++ deploy/deploy_mujoco/configs/h1.yaml | 26 +++++ deploy/deploy_mujoco/configs/h1_2.yaml | 26 +++++ deploy/deploy_mujoco/deploy_mujoco.py | 130 +++++++++++++++++++++++++ deploy/pre_train/g1/motion.pt | Bin 0 -> 145745 bytes deploy/pre_train/h1/motion.pt | Bin 0 -> 139345 bytes deploy/pre_train/h1_2/motion.pt | Bin 0 -> 145745 bytes setup.py | 2 +- 9 files changed, 257 insertions(+), 4 deletions(-) create mode 100644 deploy/deploy_mujoco/configs/g1.yaml create mode 100644 deploy/deploy_mujoco/configs/h1.yaml create mode 100644 deploy/deploy_mujoco/configs/h1_2.yaml create mode 100644 deploy/deploy_mujoco/deploy_mujoco.py create mode 100644 deploy/pre_train/g1/motion.pt create mode 100644 deploy/pre_train/h1/motion.pt create mode 100644 deploy/pre_train/h1_2/motion.pt diff --git a/README.md b/README.md index 74d443c..d214016 100644 --- a/README.md +++ b/README.md @@ -59,12 +59,57 @@ https://github.com/user-attachments/assets/98395d82-d3f6-4548-b6ee-8edfce70ac3e 2. H1 -https://github.com/user-attachments/assets/a9475a63-ea06-4327-bfa6-6a0f8065fa1c +https://github.com/user-attachments/assets/7762b4f9-1072-4794-8ef6-7dd253a7ad4c 3. H1-2 -https://github.com/user-attachments/assets/d6cdee70-8f8a-4a50-b219-df31b269b083 +https://github.com/user-attachments/assets/695323a7-a2d9-445b-bda8-f1b697159c39 4. G1 -https://github.com/user-attachments/assets/0b554137-76bc-43f9-97e1-dd704a33d6a9 +https://github.com/user-attachments/assets/6063c03e-1143-4c75-8fda-793c8615cb08 + + +### mujoco(sim2sim) + +1. H1 + +Execute the following command in the project path: + +```bash + +python deploy/deploy_mujoco/deploy_mujoco.py g1.yaml + +``` + +Then you can get the following effect: + +https://github.com/user-attachments/assets/10a84f8d-c02f-41cb-b2fd-76a97951b2c3 + +2. H1_2 + +Execute the following command in the project path: + +```bash + +python deploy/deploy_mujoco/deploy_mujoco.py h1_2.yaml + +``` + +Then you can get the following effect: + +https://github.com/user-attachments/assets/fdd4f53d-3235-4978-a77f-1c71b32fb301 + +3. G1 + +Execute the following command in the project path: + +```bash + +python deploy/deploy_mujoco/deploy_mujoco.py g1.yaml + +``` + +Then you can get the following effect: + +https://github.com/user-attachments/assets/99b892c3-7886-49f4-a7f1-0420b51443dd \ No newline at end of file diff --git a/deploy/deploy_mujoco/configs/g1.yaml b/deploy/deploy_mujoco/configs/g1.yaml new file mode 100644 index 0000000..db18fdf --- /dev/null +++ b/deploy/deploy_mujoco/configs/g1.yaml @@ -0,0 +1,26 @@ +# +policy_path: "{LEGGED_GYM_ROOT_DIR}/deploy/pre_train/g1/motion.pt" +xml_path: "{LEGGED_GYM_ROOT_DIR}/resources/robots/g1_description/scene.xml" + +# Total simulation time +simulation_duration: 60.0 +# Simulation time step +simulation_dt: 0.002 +# Controller update frequency (meets the requirement of simulation_dt * controll_decimation=0.02; 50Hz) +control_decimation: 10 + +kps: [100, 100, 100, 150, 40, 40, 100, 100, 100, 150, 40, 40] +kds: [2, 2, 2, 4, 2, 2, 2, 2, 2, 4, 2, 2] + +default_angles: [-0.1, 0.0, 0.0, 0.3, -0.2, 0.0, + -0.1, 0.0, 0.0, 0.3, -0.2, 0.0] + +ang_vel_scale: 0.25 +dof_pos_scale: 1.0 +dof_vel_scale: 0.05 +action_scale: 0.25 +cmd_scale: [2.0, 2.0, 0.25] +num_actions: 12 +num_obs: 47 + +cmd_init: [0.5, 0, 0] \ No newline at end of file diff --git a/deploy/deploy_mujoco/configs/h1.yaml b/deploy/deploy_mujoco/configs/h1.yaml new file mode 100644 index 0000000..5e76056 --- /dev/null +++ b/deploy/deploy_mujoco/configs/h1.yaml @@ -0,0 +1,26 @@ +# +policy_path: "{LEGGED_GYM_ROOT_DIR}/deploy/pre_train/h1/motion.pt" +xml_path: "{LEGGED_GYM_ROOT_DIR}/resources/robots/h1/scene.xml" + +# Total simulation time +simulation_duration: 60.0 +# Simulation time step +simulation_dt: 0.002 +# Controller update frequency (meets the requirement of simulation_dt * controll_decimation=0.02; 50Hz) +control_decimation: 10 + +kps: [150, 150, 150, 200, 40, 150, 150, 150, 200, 40] +kds: [2, 2, 2, 4, 2, 2, 2, 2, 4, 2] + +default_angles: [0, 0.0, -0.1, 0.3, -0.2, + 0, 0.0, -0.1, 0.3, -0.2] + +ang_vel_scale: 0.25 +dof_pos_scale: 1.0 +dof_vel_scale: 0.05 +action_scale: 0.25 +cmd_scale: [2.0, 2.0, 0.25] +num_actions: 10 +num_obs: 41 + +cmd_init: [0.5, 0, 0] \ No newline at end of file diff --git a/deploy/deploy_mujoco/configs/h1_2.yaml b/deploy/deploy_mujoco/configs/h1_2.yaml new file mode 100644 index 0000000..b27a315 --- /dev/null +++ b/deploy/deploy_mujoco/configs/h1_2.yaml @@ -0,0 +1,26 @@ +# +policy_path: "{LEGGED_GYM_ROOT_DIR}/deploy/pre_train/h1_2/motion.pt" +xml_path: "{LEGGED_GYM_ROOT_DIR}/resources/robots/h1_2/scene.xml" + +# Total simulation time +simulation_duration: 60.0 +# Simulation time step +simulation_dt: 0.002 +# Controller update frequency (meets the requirement of simulation_dt * controll_decimation=0.02; 50Hz) +control_decimation: 10 + +kps: [200, 200, 200, 300, 40, 40, 200, 200, 200, 300, 40, 40] +kds: [2.5, 2.5, 2.5, 4, 2, 2, 2.5, 2.5, 2.5, 4, 2, 2] + +default_angles: [0, -0.16, 0.0, 0.36, -0.2, 0.0, + 0, -0.16, 0.0, 0.36, -0.2, 0.0] + +ang_vel_scale: 0.25 +dof_pos_scale: 1.0 +dof_vel_scale: 0.05 +action_scale: 0.25 +cmd_scale: [2.0, 2.0, 0.25] +num_actions: 12 +num_obs: 47 + +cmd_init: [0.5, 0, 0] \ No newline at end of file diff --git a/deploy/deploy_mujoco/deploy_mujoco.py b/deploy/deploy_mujoco/deploy_mujoco.py new file mode 100644 index 0000000..94bfb41 --- /dev/null +++ b/deploy/deploy_mujoco/deploy_mujoco.py @@ -0,0 +1,130 @@ +import time + +import mujoco.viewer +import mujoco +import numpy as np +from legged_gym import LEGGED_GYM_ROOT_DIR +import torch +import yaml + + +def get_gravity_orientation(quaternion): + qw = quaternion[0] + qx = quaternion[1] + qy = quaternion[2] + qz = quaternion[3] + + gravity_orientation = np.zeros(3) + + gravity_orientation[0] = 2 * (-qz * qx + qw * qy) + gravity_orientation[1] = -2 * (qz * qy + qw * qx) + gravity_orientation[2] = 1 - 2 * (qw * qw + qz * qz) + + return gravity_orientation + + +def pd_control(target_q, q, kp, target_dq, dq, kd): + """Calculates torques from position commands""" + return (target_q - q) * kp + (target_dq - dq) * kd + + +if __name__ == "__main__": + # get config file name from command line + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("config_file", type=str, help="config file name in the config folder") + args = parser.parse_args() + config_file = args.config_file + with open(f"{LEGGED_GYM_ROOT_DIR}/deploy/deploy_mujoco/configs/{config_file}", "r") as f: + config = yaml.load(f, Loader=yaml.FullLoader) + policy_path = config["policy_path"].replace("{LEGGED_GYM_ROOT_DIR}", LEGGED_GYM_ROOT_DIR) + xml_path = config["xml_path"].replace("{LEGGED_GYM_ROOT_DIR}", LEGGED_GYM_ROOT_DIR) + + simulation_duration = config["simulation_duration"] + simulation_dt = config["simulation_dt"] + control_decimation = config["control_decimation"] + + kps = np.array(config["kps"], dtype=np.float32) + kds = np.array(config["kds"], dtype=np.float32) + + default_angles = np.array(config["default_angles"], dtype=np.float32) + + ang_vel_scale = config["ang_vel_scale"] + dof_pos_scale = config["dof_pos_scale"] + dof_vel_scale = config["dof_vel_scale"] + action_scale = config["action_scale"] + cmd_scale = np.array(config["cmd_scale"], dtype=np.float32) + + num_actions = config["num_actions"] + num_obs = config["num_obs"] + + cmd = np.array(config["cmd_init"], dtype=np.float32) + + # define context variables + action = np.zeros(num_actions, dtype=np.float32) + target_dof_pos = default_angles.copy() + obs = np.zeros(num_obs, dtype=np.float32) + + counter = 0 + + # Load robot model + m = mujoco.MjModel.from_xml_path(xml_path) + d = mujoco.MjData(m) + m.opt.timestep = simulation_dt + + # load policy + policy = torch.jit.load(policy_path) + + with mujoco.viewer.launch_passive(m, d) as viewer: + # Close the viewer automatically after simulation_duration wall-seconds. + start = time.time() + while viewer.is_running() and time.time() - start < simulation_duration: + step_start = time.time() + tau = pd_control(target_dof_pos, d.qpos[7:], kps, np.zeros_like(kds), d.qvel[6:], kds) + d.ctrl[:] = tau + # mj_step can be replaced with code that also evaluates + # a policy and applies a control signal before stepping the physics. + mujoco.mj_step(m, d) + + counter += 1 + if counter % control_decimation == 0: + # Apply control signal here. + + # create observation + qj = d.qpos[7:] + dqj = d.qvel[6:] + quat = d.qpos[3:7] + omega = d.qvel[3:6] + + qj = (qj - default_angles) * dof_pos_scale + dqj = dqj * dof_vel_scale + gravity_orientation = get_gravity_orientation(quat) + omega = omega * ang_vel_scale + + period = 0.8 + count = counter * simulation_dt + phase = count % period / period + sin_phase = np.sin(2 * np.pi * phase) + cos_phase = np.cos(2 * np.pi * phase) + + obs[:3] = omega + obs[3:6] = gravity_orientation + obs[6:9] = cmd * cmd_scale + obs[9 : 9 + num_actions] = qj + obs[9 + num_actions : 9 + 2 * num_actions] = dqj + obs[9 + 2 * num_actions : 9 + 3 * num_actions] = action + obs[9 + 3 * num_actions : 9 + 3 * num_actions + 2] = np.array([sin_phase, cos_phase]) + obs_tensor = torch.from_numpy(obs).unsqueeze(0) + # policy inference + action = policy(obs_tensor).detach().numpy().squeeze() + # transform action to target_dof_pos + target_dof_pos = action * action_scale + default_angles + + # Pick up changes to the physics state, apply perturbations, update options from GUI. + viewer.sync() + + # Rudimentary time keeping, will drift relative to wall clock. + time_until_next_step = m.opt.timestep - 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