chore(processor): update input output of main 3 processors for better semantics (#1942)

* chore(processor): update input output of main 3 processors for better semantics

* refactor(processor): replace Any with RobotObservation for improved type safety in processors

* fix(processors): no PolicyObservation

* chore(processor): update with RobotObservation

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: AdilZouitine <adilzouitinegm@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

examples/phone_to_so100/evaluate.py

@@ -14,7 +14,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from typing import Any
 
 from lerobot.cameras.opencv.configuration_opencv import OpenCVCameraConfig
 from lerobot.configs.types import FeatureType, PolicyFeature
@@ -25,14 +24,15 @@ from lerobot.model.kinematics import RobotKinematics
 from lerobot.policies.act.modeling_act import ACTPolicy
 from lerobot.policies.factory import make_pre_post_processors
 from lerobot.processor import (
-    EnvTransition,
     RobotAction,
+    RobotObservation,
     RobotProcessorPipeline,
     make_default_teleop_action_processor,
 )
 from lerobot.processor.converters import (
-    identity_transition,
     observation_to_transition,
+    robot_action_to_transition,
+    transition_to_observation,
     transition_to_robot_action,
 )
 from lerobot.record import record_loop
@@ -74,7 +74,7 @@ kinematics_solver = RobotKinematics(
 )
 
 # Build pipeline to convert ee pose action to joint action
-robot_ee_to_joints_processor = RobotProcessorPipeline[EnvTransition, RobotAction](
+robot_ee_to_joints_processor = RobotProcessorPipeline[RobotAction, RobotAction](
     steps=[
         AddRobotObservationAsComplimentaryData(robot=robot),
         InverseKinematicsEEToJoints(
@@ -83,17 +83,17 @@ robot_ee_to_joints_processor = RobotProcessorPipeline[EnvTransition, RobotAction
             initial_guess_current_joints=True,
         ),
     ],
-    to_transition=identity_transition,
+    to_transition=robot_action_to_transition,
     to_output=transition_to_robot_action,
 )
 
 # Build pipeline to convert joint observation to ee pose observation
-robot_joints_to_ee_pose_processor = RobotProcessorPipeline[dict[str, Any], EnvTransition](
+robot_joints_to_ee_pose_processor = RobotProcessorPipeline[RobotObservation, RobotObservation](
     steps=[
         ForwardKinematicsJointsToEE(kinematics=kinematics_solver, motor_names=list(robot.bus.motors.keys()))
     ],
     to_transition=observation_to_transition,
-    to_output=identity_transition,
+    to_output=transition_to_observation,
 )
 
 

examples/phone_to_so100/record.py

@@ -14,18 +14,17 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from typing import Any
 
 from lerobot.cameras.opencv.configuration_opencv import OpenCVCameraConfig
 from lerobot.datasets.lerobot_dataset import LeRobotDataset
 from lerobot.datasets.pipeline_features import aggregate_pipeline_dataset_features, create_initial_features
 from lerobot.datasets.utils import combine_feature_dicts
 from lerobot.model.kinematics import RobotKinematics
-from lerobot.processor import EnvTransition, RobotAction, RobotProcessorPipeline
+from lerobot.processor import RobotAction, RobotObservation, RobotProcessorPipeline
 from lerobot.processor.converters import (
-    identity_transition,
     observation_to_transition,
     robot_action_to_transition,
+    transition_to_observation,
     transition_to_robot_action,
 )
 from lerobot.record import record_loop
@@ -75,7 +74,7 @@ kinematics_solver = RobotKinematics(
 )
 
 # Build pipeline to convert phone action to ee pose action
-phone_to_robot_ee_pose_processor = RobotProcessorPipeline[RobotAction, EnvTransition](
+phone_to_robot_ee_pose_processor = RobotProcessorPipeline[RobotAction, RobotAction](
     steps=[
         MapPhoneActionToRobotAction(platform=teleop_config.phone_os),
         AddRobotObservationAsComplimentaryData(robot=robot),
@@ -92,11 +91,11 @@ phone_to_robot_ee_pose_processor = RobotProcessorPipeline[RobotAction, EnvTransi
         GripperVelocityToJoint(),
     ],
     to_transition=robot_action_to_transition,
-    to_output=identity_transition,
+    to_output=transition_to_robot_action,
 )
 
 # Build pipeline to convert ee pose action to joint action
-robot_ee_to_joints_processor = RobotProcessorPipeline[EnvTransition, RobotAction](
+robot_ee_to_joints_processor = RobotProcessorPipeline[RobotAction, RobotAction](
     steps=[
         InverseKinematicsEEToJoints(
             kinematics=kinematics_solver,
@@ -104,17 +103,17 @@ robot_ee_to_joints_processor = RobotProcessorPipeline[EnvTransition, RobotAction
             initial_guess_current_joints=True,
         ),
     ],
-    to_transition=identity_transition,
+    to_transition=robot_action_to_transition,
     to_output=transition_to_robot_action,
 )
 
 # Build pipeline to convert joint observation to ee pose observation
-robot_joints_to_ee_pose = RobotProcessorPipeline[dict[str, Any], EnvTransition](
+robot_joints_to_ee_pose = RobotProcessorPipeline[RobotObservation, RobotObservation](
     steps=[
         ForwardKinematicsJointsToEE(kinematics=kinematics_solver, motor_names=list(robot.bus.motors.keys()))
     ],
     to_transition=observation_to_transition,
-    to_output=identity_transition,
+    to_output=transition_to_observation,
 )
 
 # Create the dataset

src/lerobot/processor/__init__.py

@@ -20,7 +20,14 @@ from .converters import (
     create_transition,
     transition_to_batch,
 )
-from .core import EnvAction, EnvTransition, PolicyAction, RobotAction, TransitionKey
+from .core import (
+    EnvAction,
+    EnvTransition,
+    PolicyAction,
+    RobotAction,
+    RobotObservation,
+    TransitionKey,
+)
 from .delta_action_processor import MapDeltaActionToRobotActionStep, MapTensorToDeltaActionDictStep
 from .device_processor import DeviceProcessorStep
 from .factory import (
@@ -99,6 +106,7 @@ __all__ = [
     "ProcessorStepRegistry",
     "RobotAction",
     "RobotActionProcessorStep",
+    "RobotObservation",
     "RenameObservationsProcessorStep",
     "RewardClassifierProcessorStep",
     "RewardProcessorStep",

src/lerobot/processor/converters.py

@@ -25,7 +25,7 @@ import torch
 
 from lerobot.constants import OBS_IMAGES
 
-from .core import EnvTransition, PolicyAction, RobotAction, TransitionKey
+from .core import EnvTransition, PolicyAction, RobotAction, RobotObservation, TransitionKey
 
 
 @singledispatch
@@ -265,7 +265,7 @@ def robot_action_to_transition(action: RobotAction) -> EnvTransition:
     return create_transition(observation={}, action=action)
 
 
-def observation_to_transition(observation: dict[str, Any]) -> EnvTransition:
+def observation_to_transition(observation: RobotObservation) -> EnvTransition:
     """
     Convert a raw robot observation dictionary into a standardized `EnvTransition`.
 
@@ -299,6 +299,9 @@ def transition_to_robot_action(transition: EnvTransition) -> RobotAction:
     Returns:
         A dictionary representing the raw robot action.
     """
+    action = transition.get(TransitionKey.ACTION)
+    if not isinstance(action, dict):
+        raise ValueError(f"Action should be a RobotAction type (dict) got {type(action)}")
     return transition.get(TransitionKey.ACTION)
 
 
@@ -312,6 +315,16 @@ def transition_to_policy_action(transition: EnvTransition) -> PolicyAction:
     return action
 
 
+def transition_to_observation(transition: EnvTransition) -> RobotObservation:
+    """
+    Convert an `EnvTransition` to a `RobotObservation`.
+    """
+    observation = transition.get(TransitionKey.OBSERVATION)
+    if not isinstance(observation, dict):
+        raise ValueError(f"Observation should be a RobotObservation (dict) type got {type(observation)}")
+    return observation
+
+
 def policy_action_to_transition(action: PolicyAction) -> EnvTransition:
     """
     Convert a `PolicyAction` to an `EnvTransition`.

src/lerobot/processor/core.py

@@ -39,6 +39,7 @@ class TransitionKey(str, Enum):
 PolicyAction: TypeAlias = torch.Tensor
 RobotAction: TypeAlias = dict[str, Any]
 EnvAction: TypeAlias = np.ndarray
+RobotObservation: TypeAlias = dict[str, Any]
 
 
 EnvTransition = TypedDict(

src/lerobot/processor/factory.py

@@ -13,41 +13,40 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from typing import Any
 
 from .converters import (
-    identity_transition,
     observation_to_transition,
     robot_action_to_transition,
+    transition_to_observation,
     transition_to_robot_action,
 )
-from .core import EnvTransition, RobotAction
+from .core import RobotAction, RobotObservation
 from .pipeline import IdentityProcessorStep, RobotProcessorPipeline
 
 
-def make_default_teleop_action_processor() -> RobotProcessorPipeline[RobotAction, EnvTransition]:
-    teleop_action_processor = RobotProcessorPipeline[RobotAction, EnvTransition](
+def make_default_teleop_action_processor() -> RobotProcessorPipeline[RobotAction, RobotAction]:
+    teleop_action_processor = RobotProcessorPipeline[RobotAction, RobotAction](
         steps=[IdentityProcessorStep()],
         to_transition=robot_action_to_transition,
-        to_output=identity_transition,
+        to_output=transition_to_robot_action,
     )
     return teleop_action_processor
 
 
-def make_default_robot_action_processor() -> RobotProcessorPipeline[EnvTransition, RobotAction]:
-    robot_action_processor = RobotProcessorPipeline[EnvTransition, RobotAction](
+def make_default_robot_action_processor() -> RobotProcessorPipeline[RobotAction, RobotAction]:
+    robot_action_processor = RobotProcessorPipeline[RobotAction, RobotAction](
         steps=[IdentityProcessorStep()],
-        to_transition=identity_transition,
+        to_transition=robot_action_to_transition,
         to_output=transition_to_robot_action,
     )
     return robot_action_processor
 
 
-def make_default_robot_observation_processor() -> RobotProcessorPipeline[dict[str, Any], EnvTransition]:
-    robot_observation_processor = RobotProcessorPipeline[dict[str, Any], EnvTransition](
+def make_default_robot_observation_processor() -> RobotProcessorPipeline[RobotObservation, RobotObservation]:
+    robot_observation_processor = RobotProcessorPipeline[RobotObservation, RobotObservation](
         steps=[IdentityProcessorStep()],
         to_transition=observation_to_transition,
-        to_output=identity_transition,
+        to_output=transition_to_observation,
     )
     return robot_observation_processor
 

src/lerobot/record.py

@@ -79,12 +79,11 @@ from lerobot.datasets.video_utils import VideoEncodingManager
 from lerobot.policies.factory import make_policy, make_pre_post_processors
 from lerobot.policies.pretrained import PreTrainedPolicy
 from lerobot.processor import (
-    EnvTransition,
     PolicyAction,
     PolicyProcessorPipeline,
     RobotAction,
+    RobotObservation,
     RobotProcessorPipeline,
-    TransitionKey,
     make_default_processors,
 )
 from lerobot.processor.rename_processor import rename_stats
@@ -236,9 +235,11 @@ def record_loop(
     robot: Robot,
     events: dict,
     fps: int,
-    teleop_action_processor: RobotProcessorPipeline[RobotAction, EnvTransition],  # runs after teleop
-    robot_action_processor: RobotProcessorPipeline[EnvTransition, RobotAction],  # runs before robot
-    robot_observation_processor: RobotProcessorPipeline[dict[str, Any], EnvTransition],  # runs after robot
+    teleop_action_processor: RobotProcessorPipeline[RobotAction, RobotAction],  # runs after teleop
+    robot_action_processor: RobotProcessorPipeline[RobotAction, RobotAction],  # runs before robot
+    robot_observation_processor: RobotProcessorPipeline[
+        RobotObservation, RobotObservation
+    ],  # runs after robot
     dataset: LeRobotDataset | None = None,
     teleop: Teleoperator | list[Teleoperator] | None = None,
     policy: PreTrainedPolicy | None = None,
@@ -281,10 +282,6 @@ def record_loop(
         preprocessor.reset()
         postprocessor.reset()
 
-    policy_transition = None
-    teleop_transition = None
-    obs_transition = None
-
     timestamp = 0
     start_episode_t = time.perf_counter()
     while timestamp < control_time_s:
@@ -298,12 +295,10 @@ def record_loop(
         obs = robot.get_observation()
 
         # Applies a pipeline to the raw robot observation, default is IdentityProcessor
-        obs_transition = robot_observation_processor(obs)
+        obs_processed = robot_observation_processor(obs)
 
         if policy is not None or dataset is not None:
-            observation_frame = build_dataset_frame(
-                dataset.features, obs_transition[TransitionKey.OBSERVATION], prefix="observation"
-            )
+            observation_frame = build_dataset_frame(dataset.features, obs_processed, prefix="observation")
 
         # Get action from either policy or teleop
         if policy is not None and preprocessor is not None and postprocessor is not None:
@@ -319,10 +314,8 @@ def record_loop(
             )
 
             action_names = dataset.features["action"]["names"]
-            policy_action = {f"{name}": float(action_values[i]) for i, name in enumerate(action_names)}
-            policy_transition = {
-                TransitionKey.ACTION: policy_action,
-                TransitionKey.COMPLEMENTARY_DATA: {},
+            act_processed_policy: RobotAction = {
+                f"{name}": float(action_values[i]) for i, name in enumerate(action_names)
             }
 
         elif isinstance(teleop, Teleoperator):
@@ -330,7 +323,7 @@ def record_loop(
 
             # Applies a pipeline to the raw teleop action, default is IdentityProcessor
             # TODO(Steven): This assumes that the processor passed by the user should have identity_transition as to_output.
-            teleop_transition = teleop_action_processor(act)
+            act_processed_teleop = teleop_action_processor(act)
 
         elif isinstance(teleop, list):
             arm_action = teleop_arm.get_action()
@@ -338,7 +331,7 @@ def record_loop(
             keyboard_action = teleop_keyboard.get_action()
             base_action = robot._from_keyboard_to_base_action(keyboard_action)
             act = {**arm_action, **base_action} if len(base_action) > 0 else arm_action
-            teleop_transition = teleop_action_processor(act)
+            act_processed_teleop = teleop_action_processor(act)
         else:
             logging.info(
                 "No policy or teleoperator provided, skipping action generation. "
@@ -349,12 +342,12 @@ def record_loop(
 
         # Applies a pipeline to the action, default is IdentityProcessor
         # IMPORTANT: action_pipeline.to_output must return a dict suitable for robot.send_action()
-        if policy is not None and policy_transition is not None:
-            action_values = policy_transition[TransitionKey.ACTION]
-            robot_action_to_send = robot_action_processor(policy_transition)
+        if policy is not None and act_processed_policy is not None:
+            action_values = act_processed_policy
+            robot_action_to_send = robot_action_processor(act_processed_policy)
         else:
-            action_values = teleop_transition[TransitionKey.ACTION]
-            robot_action_to_send = robot_action_processor(teleop_transition)
+            action_values = act_processed_teleop
+            robot_action_to_send = robot_action_processor(act_processed_teleop)
 
         # Send action to robot
         # Action can eventually be clipped using `max_relative_target`,
@@ -369,7 +362,7 @@ def record_loop(
             dataset.add_frame(frame)
 
         if display_data:
-            log_rerun_data(observation=obs_transition[TransitionKey.OBSERVATION], action=action_values)
+            log_rerun_data(observation=obs_processed, action=action_values)
 
         dt_s = time.perf_counter() - start_loop_t
         busy_wait(1 / fps - dt_s)