Robotic Dogs and Animal-Like Robots with Embodied Artificial Intelligence

Smart overview of the Invention

A robotic dog is designed with embodied artificial intelligence to perform tasks autonomously, such as guiding visually impaired individuals, detecting contraband, and providing companionship. The robot closely mimics the appearance and behavior of a real dog, featuring a head with facial features, a body, four legs, and a tail. The AI model serves as the robot's brain, processing data from cameras, microphones, and sensors to guide its actions. A generative AI-based training method allows the robotic dog to learn from a live dog, enhancing its training efficiency.

Key Components

The robotic dog includes several components that replicate the structure and functionality of real animals:

• Head: Features that mimic an animal's facial structure, with movable ears and mouth.
• Eyes: Equipped with cameras and sensors for visual data capture and navigation.
• Mouth and Teeth: Designed for object interaction and realistic appearance.
• Ears: Include microphones for audio data capture and realistic expressions.
• Nose: Sensors for smell detection and environmental awareness.
• Body Structure: Provides the framework for all robotic components.
• Limbs: Joints and actuators for movement and agility.
• Tail: Actuators for balance and expression.
• Sensors: Capture various environmental data.
• Control Systems: Process sensor data and control actuators.
• Power Supply: Includes solar panels, batteries, and wireless charging.
• Communication Interfaces: Enable interaction with other systems and humans.

Applications and Use Cases

Animal-like robots are versatile, performing tasks from companionship to security. They are used in:

• Service roles, assisting individuals with disabilities.
• Security and surveillance operations.
• Search and rescue missions.
• Therapeutic and educational activities.
• Industrial inspection and maintenance.
• Healthcare for patient monitoring.
• Agriculture for livestock management.
• Defense and security roles, such as reconnaissance.

Generative AI Training

Advancements in large language models and generative AI enable the training of animal-like robots using multimedia inputs. The patent describes innovative methods for developing AI models that guide robotic dogs' actions. The robots can learn tasks through continuous online training, observing and mimicking real animals, thus enhancing their capabilities and adaptability.

Figures and Diagrams

The patent includes several figures illustrating the invention:

• FIG. 1: Front view of a robotic dog.
• FIG. 2: Robotic dog assisting a visually impaired person.
• FIG. 3: Robotic dog in defense operations.
• FIG. 4: Front view of a robotic cat.
• FIG. 5: AI model development for robotic guidance.
• FIG. 6: Components and workflows of the control system.
• FIG. 7: Robotic cat on a wireless charging platform.
• FIG. 8: Real and robotic dogs learning behaviors.
• FIG. 9: Generative AI-based training system diagram.