Planning

---

Set Autonomous Goals

• Description: Set the goals to achieve.

• Args:

  • goals (list[str]): Ordered list of autonomous goals prioritized in descending order of importance.
  • identifiers_to_string_values (dict[str, str]): String objects to add to the PDDL problem.

• Endpoint: /api/v2/commands/skill/

• HTTP Method: POST

• Type of Argument: Dict

• JSON Example:

  {
    "command": "skill",
    "value": {
      "name": "set_autonomous_goals",
      "goals": goals,
      "identifiers_to_string_values": identifiers_to_string_values
    }
  }
  

Set Short Lived Goals

• Description: Set the goals to achieve.

• Args:

  • goals (list[str]): Ordered list of autonomous goals sorted by decrease importancy.
  • identifiers_to_string_values (dict[str, str]): String objects to add to the PDDL problem.

• Endpoint: /api/v2/commands/skill/

• HTTP Method: POST

• Type of Argument: Dict

• JSON Example:

  {
    "command": "skill",
    "value": {
      "name": "set_short_lived_goals",
      "goals": goals,
      "identifiers_to_string_values": identifiers_to_string_values
    }
  }
  

Extend In Front Of Short Lived Goals

• Description: Extend the list of short lived goals to achieve.

• Args:

  • goals (list[str]): Ordered list of short lived goals, sorted by descending importance, to add at the front of the current list.
  • identifiers_to_string_values (dict[str, str]): String objects to add to the PDDL problem.

• Endpoint: /api/v2/commands/skill/

• HTTP Method: POST

• Type of Argument: Dict

• JSON Example:

  {
    "command": "skill",
    "value": {
      "name": "extend_in_front_of_short_lived_goals",
      "goals": goals,
      "identifiers_to_string_values": identifiers_to_string_values
    }
  }
  

Apply Pddl Effect

• Description: Apply a PDDL effect string to update the robot's internal world state.

• Args:

  • pddl_effect (str): A valid PDDL effect statement.

• Endpoint: /api/v2/commands/skill/

• HTTP Method: POST

• Type of Argument: Dict

• JSON Example:

  {
    "command": "skill",
    "value": {
      "name": "apply_pddl_effect",
      "pddl_effect": pddl_effect
    }
  }