From 8ba3d4ec6b01bde27bfc495dfa3ad210ab319c59 Mon Sep 17 00:00:00 2001 From: Max Nagy Date: Fri, 20 Oct 2023 14:45:20 +0200 Subject: [PATCH 01/16] Fix `pip install ".[metaworld]" --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 1daa568..40df957 100644 --- a/setup.py +++ b/setup.py @@ -7,7 +7,7 @@ from setuptools import setup, find_packages # Environment-specific dependencies for dmc and metaworld extras = { 'dmc': ['shimmy[dm-control]', 'Shimmy==1.0.0'], - 'metaworld': ['metaworld @ git+https://github.com/Farama-Foundation/Metaworld.git@d155d0051630bb365ea6a824e02c66c068947439#egg=metaworld'], + 'metaworld': ['mujoco==2.3.3', 'metaworld @ git+https://github.com/Farama-Foundation/Metaworld.git@d155d0051630bb365ea6a824e02c66c068947439#egg=metaworld'], 'box2d': ['gymnasium[box2d]>=0.26.0'], 'mujoco': ['mujoco==2.3.3', 'gymnasium[mujoco]>0.26.0'], 'mujoco-legacy': ['mujoco-py >=2.1,<2.2', 'cython<3'], From edd1e83813d1631ac3a254894a182836bbf19fe6 Mon Sep 17 00:00:00 2001 From: Mustafa Enes Batur Date: Sat, 18 Nov 2023 18:19:05 +0100 Subject: [PATCH 02/16] Implement air hockey envs --- fancy_gym/envs/__init__.py | 7 + fancy_gym/envs/mujoco/__init__.py | 1 + fancy_gym/envs/mujoco/air_hockey/__init__.py | 0 .../air_hockey/air_hockey_env_wrapper.py | 173 +++++++++++ .../mujoco/air_hockey/constraints/__init__.py | 1 + .../air_hockey/constraints/constraints.py | 212 ++++++++++++++ .../envs/mujoco/air_hockey/data/__init__.py | 0 .../mujoco/air_hockey/data/iiwas/__init__.py | 0 .../air_hockey/data/iiwas/assets/EE_arm.stl | Bin 0 -> 18284 bytes .../data/iiwas/assets/EE_mallet_foam.stl | Bin 0 -> 29484 bytes .../air_hockey/data/iiwas/assets/link_0.stl | Bin 0 -> 474784 bytes .../air_hockey/data/iiwas/assets/link_1.stl | Bin 0 -> 500384 bytes .../air_hockey/data/iiwas/assets/link_2.stl | Bin 0 -> 529884 bytes .../air_hockey/data/iiwas/assets/link_3.stl | Bin 0 -> 523584 bytes .../air_hockey/data/iiwas/assets/link_4.stl | Bin 0 -> 525084 bytes .../air_hockey/data/iiwas/assets/link_5.stl | Bin 0 -> 645184 bytes .../air_hockey/data/iiwas/assets/link_6.stl | Bin 0 -> 392884 bytes .../air_hockey/data/iiwas/assets/link_7.stl | Bin 0 -> 8196234 bytes .../mujoco/air_hockey/data/iiwas/double.xml | 58 ++++ .../mujoco/air_hockey/data/iiwas/iiwa1.xml | 108 +++++++ .../mujoco/air_hockey/data/iiwas/iiwa2.xml | 89 ++++++ .../air_hockey/data/iiwas/iiwa_only.xml | 94 ++++++ .../data/iiwas/meshes/collision/link_0.stl | Bin 0 -> 474784 bytes .../data/iiwas/meshes/collision/link_1.stl | Bin 0 -> 180884 bytes .../data/iiwas/meshes/collision/link_2.stl | Bin 0 -> 219884 bytes .../data/iiwas/meshes/collision/link_3.stl | Bin 0 -> 230884 bytes .../data/iiwas/meshes/collision/link_4.stl | Bin 0 -> 210984 bytes .../data/iiwas/meshes/collision/link_5.stl | Bin 0 -> 253284 bytes .../data/iiwas/meshes/collision/link_6.stl | Bin 0 -> 164284 bytes .../data/iiwas/meshes/collision/link_7.stl | Bin 0 -> 737734 bytes .../iiwas/meshes/collision/link_7_old.stl | Bin 0 -> 569184 bytes .../striker/collision/EE_arm_collision.stl | Bin 0 -> 11284 bytes .../striker/collision/EE_mallet_collision.stl | Bin 0 -> 20484 bytes .../collision/EE_mallet_short_collision.stl | Bin 0 -> 20484 bytes .../iiwas/meshes/striker/visual/EE_arm.stl | Bin 0 -> 18284 bytes .../iiwas/meshes/striker/visual/EE_mallet.stl | Bin 0 -> 28584 bytes .../meshes/striker/visual/EE_mallet_short.stl | Bin 0 -> 58284 bytes .../data/iiwas/meshes/visual/link_0.stl | Bin 0 -> 474784 bytes .../data/iiwas/meshes/visual/link_1.stl | Bin 0 -> 500384 bytes .../data/iiwas/meshes/visual/link_2.stl | Bin 0 -> 529884 bytes .../data/iiwas/meshes/visual/link_3.stl | Bin 0 -> 523584 bytes .../data/iiwas/meshes/visual/link_4.stl | Bin 0 -> 525084 bytes .../data/iiwas/meshes/visual/link_5.stl | Bin 0 -> 645184 bytes .../data/iiwas/meshes/visual/link_6.stl | Bin 0 -> 392884 bytes .../data/iiwas/meshes/visual/link_7.stl | Bin 0 -> 8196234 bytes .../data/iiwas/meshes/visual/link_7_old.stl | Bin 0 -> 1906984 bytes .../mujoco/air_hockey/data/iiwas/single.xml | 32 +++ .../mujoco/air_hockey/data/planar/__init__.py | 0 .../mujoco/air_hockey/data/planar/double.xml | 37 +++ .../air_hockey/data/planar/planar_robot_1.xml | 61 ++++ .../air_hockey/data/planar/planar_robot_2.xml | 46 +++ .../mujoco/air_hockey/data/planar/single.xml | 24 ++ .../envs/mujoco/air_hockey/data/table.xml | 89 ++++++ .../air_hockey/position_control_wrapper.py | 270 ++++++++++++++++++ .../mujoco/air_hockey/seven_dof/__init__.py | 4 + .../mujoco/air_hockey/seven_dof/defend.py | 75 +++++ .../mujoco/air_hockey/seven_dof/env_base.py | 258 +++++++++++++++++ .../mujoco/air_hockey/seven_dof/env_double.py | 171 +++++++++++ .../mujoco/air_hockey/seven_dof/env_single.py | 104 +++++++ .../envs/mujoco/air_hockey/seven_dof/hit.py | 74 +++++ .../mujoco/air_hockey/seven_dof/tournament.py | 108 +++++++ .../mujoco/air_hockey/three_dof/__init__.py | 3 + .../mujoco/air_hockey/three_dof/defend.py | 76 +++++ .../mujoco/air_hockey/three_dof/env_base.py | 224 +++++++++++++++ .../mujoco/air_hockey/three_dof/env_single.py | 91 ++++++ .../envs/mujoco/air_hockey/three_dof/hit.py | 84 ++++++ .../envs/mujoco/air_hockey/utils/__init__.py | 2 + .../mujoco/air_hockey/utils/kinematics.py | 248 ++++++++++++++++ .../air_hockey/utils/transformations.py | 65 +++++ .../utils/universal_joint_plugin.py | 120 ++++++++ 70 files changed, 3009 insertions(+) create mode 100644 fancy_gym/envs/mujoco/air_hockey/__init__.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/air_hockey_env_wrapper.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/constraints/__init__.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/constraints/constraints.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/__init__.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/__init__.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/assets/EE_arm.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/assets/EE_mallet_foam.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/assets/link_0.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/assets/link_1.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/assets/link_2.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/assets/link_3.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/assets/link_4.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/assets/link_5.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/assets/link_6.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/assets/link_7.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/double.xml create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/iiwa1.xml create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/iiwa2.xml create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/iiwa_only.xml create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/collision/link_0.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/collision/link_1.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/collision/link_2.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/collision/link_3.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/collision/link_4.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/collision/link_5.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/collision/link_6.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/collision/link_7.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/collision/link_7_old.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/striker/collision/EE_arm_collision.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/striker/collision/EE_mallet_collision.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/striker/collision/EE_mallet_short_collision.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/striker/visual/EE_arm.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/striker/visual/EE_mallet.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/striker/visual/EE_mallet_short.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/visual/link_0.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/visual/link_1.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/visual/link_2.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/visual/link_3.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/visual/link_4.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/visual/link_5.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/visual/link_6.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/visual/link_7.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/meshes/visual/link_7_old.stl create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/iiwas/single.xml create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/planar/__init__.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/planar/double.xml create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/planar/planar_robot_1.xml create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/planar/planar_robot_2.xml create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/planar/single.xml create mode 100644 fancy_gym/envs/mujoco/air_hockey/data/table.xml create mode 100644 fancy_gym/envs/mujoco/air_hockey/position_control_wrapper.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/seven_dof/__init__.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/seven_dof/defend.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/seven_dof/env_base.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/seven_dof/env_double.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/seven_dof/env_single.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/seven_dof/hit.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/seven_dof/tournament.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/three_dof/__init__.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/three_dof/defend.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/three_dof/env_base.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/three_dof/env_single.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/three_dof/hit.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/utils/__init__.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/utils/kinematics.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/utils/transformations.py create mode 100644 fancy_gym/envs/mujoco/air_hockey/utils/universal_joint_plugin.py diff --git a/fancy_gym/envs/__init__.py b/fancy_gym/envs/__init__.py index a40c81f..3d6f042 100644 --- a/fancy_gym/envs/__init__.py +++ b/fancy_gym/envs/__init__.py @@ -31,6 +31,7 @@ from .mujoco.table_tennis.mp_wrapper import TT_MPWrapper as MPWrapper_TableTenni from .mujoco.table_tennis.mp_wrapper import TT_MPWrapper_Replan as MPWrapper_TableTennis_Replan from .mujoco.table_tennis.mp_wrapper import TTVelObs_MPWrapper as MPWrapper_TableTennis_VelObs from .mujoco.table_tennis.mp_wrapper import TTVelObs_MPWrapper_Replan as MPWrapper_TableTennis_VelObs_Replan +from .mujoco.air_hockey.air_hockey_env_wrapper import MAX_EPISODE_STEPS_AIRHOCKEY # Classic Control # Simple Reacher @@ -289,3 +290,9 @@ register( 'goal_switching_step': 99 } ) + +register( + id='fancy/AirHockey-v0', + entry_point='fancy_gym.envs.mujoco:AirHockeyEnv', + max_episode_steps=MAX_EPISODE_STEPS_AIRHOCKEY +) diff --git a/fancy_gym/envs/mujoco/__init__.py b/fancy_gym/envs/mujoco/__init__.py index ff51711..9be0583 100644 --- a/fancy_gym/envs/mujoco/__init__.py +++ b/fancy_gym/envs/mujoco/__init__.py @@ -9,3 +9,4 @@ from .reacher.reacher import ReacherEnv from .walker_2d_jump.walker_2d_jump import Walker2dJumpEnv from .box_pushing.box_pushing_env import BoxPushingDense, BoxPushingTemporalSparse, BoxPushingTemporalSpatialSparse from .table_tennis.table_tennis_env import TableTennisEnv, TableTennisWind, TableTennisGoalSwitching +from .air_hockey.air_hockey_env_wrapper import AirHockeyEnv \ No newline at end of file diff --git a/fancy_gym/envs/mujoco/air_hockey/__init__.py b/fancy_gym/envs/mujoco/air_hockey/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/fancy_gym/envs/mujoco/air_hockey/air_hockey_env_wrapper.py b/fancy_gym/envs/mujoco/air_hockey/air_hockey_env_wrapper.py new file mode 100644 index 0000000..8f73cdf --- /dev/null +++ b/fancy_gym/envs/mujoco/air_hockey/air_hockey_env_wrapper.py @@ -0,0 +1,173 @@ +from copy import deepcopy +import numpy as np +from gymnasium import spaces + +import fancy_gym.envs.mujoco.air_hockey.constraints as constraints +from fancy_gym.envs.mujoco.air_hockey import position_control_wrapper as position +from fancy_gym.envs.mujoco.air_hockey.utils import robot_to_world +from mushroom_rl.core import Environment + +MAX_EPISODE_STEPS_AIRHOCKEY = 45000 # For a tournament env, the game can last up to 15 minutes + +class AirHockeyEnv(Environment): + metadata = {"render_modes": ["human"], "render_fps": 60} + + def __init__(self, env_mode=None, interpolation_order=3, render_mode=None, **kwargs): + """ + Environment Constructor + + Args: + env [string]: + The string to specify the running environments. Available environments: [3dof-hit, 3dof-defend, 7dof-hit, 7dof-defend, tournament]. + interpolation_order (int, 3): Type of interpolation used, has to correspond to action shape. Order 1-5 are + polynomial interpolation of the degree. Order -1 is linear interpolation of position and velocity. + Set Order to None in order to turn off interpolation. In this case the action has to be a trajectory + of position, velocity and acceleration of the shape (20, 3, n_joints) + """ + + if env_mode == None: + print("Please specify one of the environments in [3dof-hit, 3dof-defend, 7dof-hit, 7dof-defend, tournament]") + exit() + + env_dict = { + "tournament": position.IiwaPositionTournament, + + "7dof-hit": position.IiwaPositionHit, + "7dof-defend": position.IiwaPositionDefend, + + "3dof-hit": position.PlanarPositionHit, + "3dof-defend": position.PlanarPositionDefend + } + + if env_mode == "tournament" and type(interpolation_order) != tuple: + interpolation_order = (interpolation_order, interpolation_order) + + self.base_env = env_dict[env_mode](interpolation_order=interpolation_order, **kwargs) + self.env_name = env_mode + self.env_info = self.base_env.env_info + if env_mode == "tournament": + self.observation_space = spaces.Box(low=-np.inf, high=np.inf, shape=(2,23), dtype=np.float64) + else: + self.observation_space = spaces.Box(low=-np.inf, high=np.inf, shape=(20,), dtype=np.float64) + robot_info = self.env_info["robot"] + + if env_mode != "tournament": + if interpolation_order in [1, 2]: + self.action_space = spaces.Box(low=robot_info["joint_pos_limit"][0], high=robot_info["joint_pos_limit"][1]) + if interpolation_order in [3, 4, -1]: + self.action_space = spaces.Box(low=np.vstack([robot_info["joint_pos_limit"][0], robot_info["joint_vel_limit"][0]]), + high=np.vstack([robot_info["joint_pos_limit"][1], robot_info["joint_vel_limit"][1]])) + if interpolation_order in [5]: + self.action_space = spaces.Box(low=np.vstack([robot_info["joint_pos_limit"][0], robot_info["joint_vel_limit"][0], robot_info["joint_acc_limit"][0]]), + high=np.vstack([robot_info["joint_pos_limit"][1], robot_info["joint_vel_limit"][1], robot_info["joint_acc_limit"][1]])) + else: + acts = [None, None] + for i in range(2): + if interpolation_order[i] in [1, 2]: + acts[i] = spaces.Box(low=robot_info["joint_pos_limit"][0], high=robot_info["joint_pos_limit"][1]) + if interpolation_order[i] in [3, 4, -1]: + acts[i] = spaces.Box(low=np.vstack([robot_info["joint_pos_limit"][0], robot_info["joint_vel_limit"][0]]), + high=np.vstack([robot_info["joint_pos_limit"][1], robot_info["joint_vel_limit"][1]])) + if interpolation_order[i] in [5]: + acts[i] = spaces.Box(low=np.vstack([robot_info["joint_pos_limit"][0], robot_info["joint_vel_limit"][0], robot_info["joint_acc_limit"][0]]), + high=np.vstack([robot_info["joint_pos_limit"][1], robot_info["joint_vel_limit"][1], robot_info["joint_acc_limit"][1]])) + self.action_space = spaces.Tuple((acts[0], acts[1])) + + constraint_list = constraints.ConstraintList() + constraint_list.add(constraints.JointPositionConstraint(self.env_info)) + constraint_list.add(constraints.JointVelocityConstraint(self.env_info)) + constraint_list.add(constraints.EndEffectorConstraint(self.env_info)) + if "7dof" in self.env_name or self.env_name == "tournament": + constraint_list.add(constraints.LinkConstraint(self.env_info)) + + self.env_info['constraints'] = constraint_list + self.env_info['env_name'] = self.env_name + + self.render_mode = render_mode + super().__init__(self.base_env.info) + + def step(self, action): + obs, reward, done, info = self.base_env.step(action) + + if "tournament" in self.env_name: + info["constraints_value"] = list() + info["jerk"] = list() + for i in range(2): + obs_agent = obs[i * int(len(obs) / 2): (i + 1) * int(len(obs) / 2)] + info["constraints_value"].append(deepcopy(self.env_info['constraints'].fun( + obs_agent[self.env_info['joint_pos_ids']], obs_agent[self.env_info['joint_vel_ids']]))) + info["jerk"].append( + self.base_env.jerk[i * self.env_info['robot']['n_joints']:(i + 1) * self.env_info['robot'][ + 'n_joints']]) + + info["score"] = self.base_env.score + info["faults"] = self.base_env.faults + + else: + info["constraints_value"] = deepcopy(self.env_info['constraints'].fun(obs[self.env_info['joint_pos_ids']], + obs[self.env_info['joint_vel_ids']])) + info["jerk"] = self.base_env.jerk + info["success"] = self.check_success(obs) + + if self.env_info['env_name'] == "tournament": + obs = np.array(np.split(obs, 2)) + return obs, reward, done, False, info + + def render(self): + self.base_env.render() + + def reset(self, seed=None, options={}): + self.base_env.seed(seed) + obs = self.base_env.reset() + if self.env_info['env_name'] == "tournament": + obs = np.array(np.split(obs, 2)) + return obs, {} + + def check_success(self, obs): + puck_pos, puck_vel = self.base_env.get_puck(obs) + + puck_pos, _ = robot_to_world(self.base_env.env_info["robot"]["base_frame"][0], translation=puck_pos) + success = 0 + + if "hit" in self.env_name: + if puck_pos[0] - self.base_env.env_info['table']['length'] / 2 > 0 and \ + np.abs(puck_pos[1]) - self.base_env.env_info['table']['goal_width'] / 2 < 0: + success = 1 + + elif "defend" in self.env_name: + if -0.8 < puck_pos[0] <= -0.2 and puck_vel[0] < 0.1: + success = 1 + + elif "prepare" in self.env_name: + if -0.8 < puck_pos[0] <= -0.2 and np.abs(puck_pos[1]) < 0.39105 and puck_vel[0] < 0.1: + success = 1 + return success + + @property + def unwrapped(self): + return self + + +if __name__ == "__main__": + env = AirHockeyEnv(env_mode="7dof-hit") + env.reset() + + R = 0. + J = 0. + gamma = 1. + steps = 0 + while True: + action = np.random.uniform(-1, 1, (2, env.env_info['robot']['n_joints'])) * 3 + observation, reward, done, info = env.step(action) + env.render() + gamma *= env.info.gamma + J += gamma * reward + R += reward + steps += 1 + if done or steps > env.info.horizon: + print("J: ", J, " R: ", R) + R = 0. + J = 0. + gamma = 1. + steps = 0 + env.reset() \ No newline at end of file diff --git a/fancy_gym/envs/mujoco/air_hockey/constraints/__init__.py b/fancy_gym/envs/mujoco/air_hockey/constraints/__init__.py new file mode 100644 index 0000000..4486dce --- /dev/null +++ b/fancy_gym/envs/mujoco/air_hockey/constraints/__init__.py @@ -0,0 +1 @@ +from .constraints import * diff --git a/fancy_gym/envs/mujoco/air_hockey/constraints/constraints.py b/fancy_gym/envs/mujoco/air_hockey/constraints/constraints.py new file mode 100644 index 0000000..399b35b --- /dev/null +++ b/fancy_gym/envs/mujoco/air_hockey/constraints/constraints.py @@ -0,0 +1,212 @@ +import copy + +import numpy as np + +from fancy_gym.envs.mujoco.air_hockey.utils.kinematics import forward_kinematics, jacobian + + +class Constraint: + def __init__(self, env_info, output_dim, **kwargs): + """ + Constructor + + Args + ---- + env_info: dict + A dictionary contains information about the environment; + output_dim: int + The output dimension of the constraints. + **kwargs: dict + A dictionary contains agent related information. + """ + self._env_info = env_info + self._name = None + + self.output_dim = output_dim + + self._fun_value = np.zeros(self.output_dim) + self._jac_value = np.zeros((self.output_dim, 2 * env_info["robot"]["n_joints"])) + self._q_prev = None + self._dq_prev = None + + @property + def name(self): + """ + The name of the constraints + + """ + return self._name + + def fun(self, q, dq): + """ + The function of the constraint. + + Args + ---- + q: numpy.ndarray, (num_joints,) + The joint position of the robot + dq: numpy.ndarray, (num_joints,) + The joint velocity of the robot + + Returns + ------- + numpy.ndarray, (out_dim,): + The value computed by the constraints function. + """ + if np.equal(q, self._q_prev).all() and np.equal(dq, self._dq_prev): + return self._fun_value + else: + self._jacobian(q, dq) + return self._fun(q, dq) + + def jacobian(self, q, dq): + """ + Jacobian is the derivative of the constraint function w.r.t the robot joint position and velocity. + + Args + ---- + q: ndarray, (num_joints,) + The joint position of the robot + dq: ndarray, (num_joints,) + The joint velocity of the robot + + Returns + ------- + numpy.ndarray, (dim_output, num_joints * 2): + The flattened jacobian of the constraint function J = [dc / dq, dc / dq_dot] + + """ + if np.equal(q, self._q_prev).all() and np.equal(dq, self._dq_prev): + return self._fun_value + else: + self._fun(q, dq) + return self._jacobian(q, dq) + + def _fun(self, q, dq): + raise NotImplementedError + + def _jacobian(self, q, dq): + raise NotImplementedError + + +class ConstraintList: + def __init__(self): + self.constraints = dict() + + def keys(self): + return self.constraints.keys() + + def get(self, key): + return self.constraints.get(key) + + def add(self, c): + self.constraints.update({c.name: c}) + + def delete(self, name): + del self.constraints[name] + + def fun(self, q, dq): + return {key: self.constraints[key].fun(q, dq) for key in self.constraints} + + def jacobian(self, q, dq): + return {key: self.constraints[key].jacobian(q, dq) for key in self.constraints} + + +class JointPositionConstraint(Constraint): + def __init__(self, env_info, **kwargs): + super().__init__(env_info, output_dim=2 * env_info["robot"]["n_joints"], **kwargs) + self.joint_limits = self._env_info['robot']['joint_pos_limit'] * 0.95 + self._name = 'joint_pos_constr' + + def _fun(self, q, dq): + self._fun_value[:int(self.output_dim / 2)] = q - self.joint_limits[1] + self._fun_value[int(self.output_dim / 2):] = self.joint_limits[0] - q + return self._fun_value + + def _jacobian(self, q, dq): + self._jac_value[:int(self.output_dim / 2), :int(self.output_dim / 2)] = np.eye( + self._env_info['robot']['n_joints']) + self._jac_value[int(self.output_dim / 2):, :int(self.output_dim / 2)] = -np.eye( + self._env_info['robot']['n_joints']) + return self._jac_value + + +class JointVelocityConstraint(Constraint): + def __init__(self, env_info, **kwargs): + super().__init__(env_info, output_dim=2 * env_info["robot"]["n_joints"], **kwargs) + self.joint_limits = self._env_info['robot']['joint_vel_limit'] * 0.95 + self._name = 'joint_vel_constr' + + def _fun(self, q, dq): + self._fun_value[:int(self.output_dim / 2)] = dq - self.joint_limits[1] + self._fun_value[int(self.output_dim / 2):] = self.joint_limits[0] - dq + return self._fun_value + + def _jacobian(self, q, dq): + self._jac_value[:int(self.output_dim / 2), int(self.output_dim / 2):] = np.eye( + self._env_info['robot']['n_joints']) + self._jac_value[int(self.output_dim / 2):, int(self.output_dim / 2):] = -np.eye( + self._env_info['robot']['n_joints']) + return self._jac_value + + +class EndEffectorConstraint(Constraint): + def __init__(self, env_info, **kwargs): + # 1 Dimension on x direction: x > x_lb + # 2 Dimension on y direction: y > y_lb, y < y_ub + # 2 Dimension on z direction: z > z_lb, z < z_ub + super().__init__(env_info, output_dim=5, **kwargs) + self._name = "ee_constr" + tolerance = 0.02 + + self.robot_model = copy.deepcopy(self._env_info['robot']['robot_model']) + self.robot_data = copy.deepcopy(self._env_info['robot']['robot_data']) + + self.x_lb = - self._env_info['robot']['base_frame'][0][0, 3] - ( + self._env_info['table']['length'] / 2 - self._env_info['mallet']['radius']) + self.y_lb = - (self._env_info['table']['width'] / 2 - self._env_info['mallet']['radius']) + self.y_ub = (self._env_info['table']['width'] / 2 - self._env_info['mallet']['radius']) + self.z_lb = self._env_info['robot']['ee_desired_height'] - tolerance + self.z_ub = self._env_info['robot']['ee_desired_height'] + tolerance + + def _fun(self, q, dq): + ee_pos, _ = forward_kinematics(self.robot_model, self.robot_data, q) + self._fun_value = np.array([-ee_pos[0] + self.x_lb, + -ee_pos[1] + self.y_lb, ee_pos[1] - self.y_ub, + -ee_pos[2] + self.z_lb, ee_pos[2] - self.z_ub]) + return self._fun_value + + def _jacobian(self, q, dq): + jac = jacobian(self.robot_model, self.robot_data, q) + dc_dx = np.array([[-1, 0., 0.], [0., -1., 0.], [0., 1., 0.], [0., 0., -1.], [0., 0., 1.]]) + self._jac_value[:, :self._env_info['robot']['n_joints']] = dc_dx @ jac[:3, :self._env_info['robot']['n_joints']] + return self._jac_value + + +class LinkConstraint(Constraint): + def __init__(self, env_info, **kwargs): + # 1 Dimension: wrist_z > minimum_height + # 2 Dimension: elbow_z > minimum_height + super().__init__(env_info, output_dim=2, **kwargs) + self._name = "link_constr" + + self.robot_model = copy.deepcopy(self._env_info['robot']['robot_model']) + self.robot_data = copy.deepcopy(self._env_info['robot']['robot_data']) + + self.z_lb = 0.25 + + def _fun(self, q, dq): + wrist_pos, _ = forward_kinematics(self.robot_model, self.robot_data, q, link="7") + elbow_pos, _ = forward_kinematics(self.robot_model, self.robot_data, q, link="4") + self._fun_value = np.array([-wrist_pos[2] + self.z_lb, + -elbow_pos[2] + self.z_lb]) + return self._fun_value + + def _jacobian(self, q, dq): + jac_wrist = jacobian(self.robot_model, self.robot_data, q, link="7") + jac_elbow = jacobian(self.robot_model, self.robot_data, q, link="4") + self._jac_value[:, 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