chore: fix typos (#223)

CONTRIBUTING.md

@@ -15,11 +15,11 @@ These guidelines have been therefore strongly influenced by the [ROS2 Contributi
 
 - Adopt community best-practices whenever possible instead of ad-hoc processes
 
-  Think about the end-users experiance when developing and contributing. Features accessible to a larger amount of potential users, utilising widely available solutions are more likely to be accepted.
+  Think about the end-users experience when developing and contributing. Features accessible to a larger amount of potential users, utilising widely available solutions are more likely to be accepted.
 
 - Think about the community as a whole
 
-  Think about the bigger picture. There are developers building different robots with different constraints. The landscape of available AI models is rapidly changing, coming with different capabilities and constraints. RAI wants to accomodate requirements of the whole community.
+  Think about the bigger picture. There are developers building different robots with different constraints. The landscape of available AI models is rapidly changing, coming with different capabilities and constraints. RAI wants to accommodate requirements of the whole community.
 
 There are a number of ways you can contribute to the RAI project.
 
@@ -45,7 +45,7 @@ To submit a change begin by forking this repository and making the changes on th
 Once the changes are ready to be proposed create a pull request back to the repository.
 In order to maintain a linear and clear commit history please:
 
-- make sure that all committs have meaningful messages
+- make sure that all commits have meaningful messages
 - if batches of "cleanup" or similar commits are present - squash them together
 - rebase onto the main branch of repository before making the PR
 

src/rai/rai/agents/state_based.py

@@ -65,7 +65,7 @@ class State(TypedDict):
 
 
 class Report(BaseModel):
-    problem: str = Field(..., title="Problem", description="The problem that occured")
+    problem: str = Field(..., title="Problem", description="The problem that occurred")
     solution: str = Field(
         ..., title="Solution", description="The solution to the problem"
     )

src/rai/rai/apps/task_planner.py

@@ -52,14 +52,14 @@ def robot_agnostic_planner(
 def robot_specific_planner(
     llm: BaseChatModel,
     robot_constitution: str,
-    platfrom_specific_informations: str,
+    platform_specific_information: str,
     task: str,
     planner_prompt: str = PLANNER_PROMPT,
 ) -> StepsList:
     planner_template = ChatPromptTemplate.from_messages(
         [
             ("system", robot_constitution),
-            ("system", platfrom_specific_informations),
+            ("system", platform_specific_information),
             ("system", planner_prompt),
             ("human", "The task: {input}"),
         ]

src/rai/rai/node.py

@@ -61,7 +61,7 @@ def __init__(self, llm, bufsize: int = 100) -> None:
             [
                 (
                     "system",
-                    "Shorten the following log keeping its format - for example merge simillar or repeating lines",
+                    "Shorten the following log keeping its format - for example merge similar or repeating lines",
                 ),
                 ("human", "{rosout}"),
             ]

src/rai_extensions/rai_grounding_dino/README.md

@@ -17,7 +17,7 @@ rosdep install --from-paths src --ignore-src -r
 
 ### Build and run
 
-In the base directory of the `RAI` package install dependancies:
+In the base directory of the `RAI` package install dependencies:
 
 ```
 poetry install --with gdino

src/rai_hmi/README.md

@@ -13,7 +13,7 @@ The RAI HMI (Human-Machine Interface) allows users to converse with the robot an
 ### Published Topics
 
 - **`to_human`** (`std_msgs/String`): Outgoing plaintext messages for the user.
-- **`task_additon_requests`** (`std_msgs/String`): Tasks to be added to the queue, in JSON format.
+- **`task_addition_requests`** (`std_msgs/String`): Tasks to be added to the queue, in JSON format.
 
 ## Task JSON Schema
 

src/rai_hmi/rai_hmi/tools.py

@@ -26,7 +26,7 @@ class QueryDatabaseInput(BaseModel):
         ...,
         description=(
             "The query that will be searched in the database."
-            " eg: 'PWM informations', 'How to use the camera' etc."
+            " eg: 'PWM information', 'How to use the camera' etc."
         ),
     )
 

src/rai_whoami/rai_whoami/rai_whoami_node.py

@@ -130,7 +130,7 @@ def get_documentation_callback(
     ) -> VectorStoreRetrieval_Response:
         """Return documentation based on the query string"""
         query = request.query
-        self.get_logger().info(f"Datbase queried with: {query}")
+        self.get_logger().info(f"Database queried with: {query}")
 
         if query:
             self.get_logger().info(f"Querying for documentation: {query}")