By combining state-of-the-art AI models with affordable hardware, botX empowers us to create intelligent robots (both embodied or not hopefully) capable of learning and adapting to various tasks. The goal is to build a single, adaptable robot that can learn and perform various tasks in a home or small office environment.
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Modular Hardware: A customizable robotic platform that can be easily modified for different tasks.
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AI Core: An adaptable AI system capable of learning from demonstrations and reinforcement.
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Sensor Suite: A set of cameras and sensors for environmental awareness and task execution.
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Learning Interface: A simple system for teaching the robot new tasks through demonstration.
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Build and Configure: Assemble the robot using off-the-shelf components and custom 3D-printed parts.
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Basic Training: Implement foundational behaviors using pre-trained models and basic programming.
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Task Demonstration: Use the learning interface to demonstrate new tasks to the robot.
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Refinement: Allow the robot to practice and refine its performance through trial and error.
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Deployment: Put the robot to work on real tasks, monitoring its performance and safety.
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Continuous Learning: Regularly update the robot's skills through new demonstrations and feedback.
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Adaptive Gripper: A versatile end-effector capable of handling various objects and tools.
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Voice Command Integration: Enable control and task assignment through natural language.
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Task Chaining: Combine learned behaviors to perform more complex, multi-step tasks.
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Environmental Mapping: Create and maintain a map of the working area for efficient navigation.
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Object Recognition: Identify and interact with common household or office items.
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Safety Protocols: Implement robust safety checks to ensure safe operation around humans.
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Performance Logging: Track the robot's efficiency and success rate for different tasks.