Embodied AI Simulator

What It Does

Installation

pip install pygame numpy gym

Usage

python embodied_ai_simulator.py --env warehouse --agent robot_arm --log logs.txt

Source Code

import argparse
import pygame
import numpy as np
import gym
import os

class EmbodiedAISimulator:
    def __init__(self, env_name, agent_type):
        self.env_name = env_name
        self.agent_type = agent_type
        self.env = None
        self.agent = None
        self.running = True
        self.logs = []

    def initialize_environment(self):
        if self.env_name == 'warehouse':
            try:
                self.env = gym.make('CartPole-v1')  # Example gym environment
            except gym.error.Error as e:
                raise ValueError(f"Failed to initialize environment: {e}")
        else:
            raise ValueError(f"Unsupported environment: {self.env_name}")

        self.agent = {'type': self.agent_type, 'position': np.array([0.0, 0.0])}

    def run_simulation(self):
        pygame.init()
        screen = pygame.display.set_mode((800, 600))
        pygame.display.set_caption("Embodied AI Simulator")
        clock = pygame.time.Clock()

        while self.running:
            for event in pygame.event.get():
                if event.type == pygame.QUIT:
                    self.running = False

            screen.fill((0, 0, 0))
            pygame.draw.circle(screen, (255, 0, 0), (400, 300), 20)
            pygame.display.flip()
            clock.tick(60)

        pygame.quit()

    def log_action(self, action):
        self.logs.append(action)

    def save_logs(self, file_path):
        try:
            with open(file_path, 'w') as f:
                for log in self.logs:
                    f.write(f"{log}\n")
        except Exception as e:
            raise IOError(f"Error saving logs: {e}")

if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Embodied AI Simulator")
    parser.add_argument('--env', type=str, required=True, help="Environment name (e.g., warehouse)")
    parser.add_argument('--agent', type=str, required=True, help="Agent type (e.g., robot_arm)")
    parser.add_argument('--log', type=str, help="Path to save logs")

    args = parser.parse_args()

    simulator = EmbodiedAISimulator(env_name=args.env, agent_type=args.agent)

    try:
        simulator.initialize_environment()
        simulator.run_simulation()

        if args.log:
            simulator.save_logs(args.log)
    except Exception as e:
        print(f"Error: {e}")