Placeholder: Amidst the growth in technologies like exoskeletons and smart glasses, the data documenting human interactions with their work environment was vast and intricate. However, within this trove of information lay imperfections, glitches in the system that hinted at the fragility of relying solely on robotic learning through imitation. The narrative thread of humanoid robots evolving from mere imitations of human behavior to complex entities with their own quirks and flaws began to emerge. Amidst the growth in technologies like exoskeletons and smart glasses, the data documenting human interactions with their work environment was vast and intricate. However, within this trove of information lay imperfections, glitches in the system that hinted at the fragility of relying solely on robotic learning through imitation. The narrative thread of humanoid robots evolving from mere imitations of human behavior to complex entities with their own quirks and flaws began to emerge.

@generalpha

Prompt

Amidst the growth in technologies like exoskeletons and smart glasses, the data documenting human interactions with their work environment was vast and intricate. However, within this trove of information lay imperfections, glitches in the system that hinted at the fragility of relying solely on robotic learning through imitation. The narrative thread of humanoid robots evolving from mere imitations of human behavior to complex entities with their own quirks and flaws began to emerge.

statue, doubles, twins, entangled fingers, Worst Quality, ugly, ugly face, watermarks, undetailed, unrealistic, double limbs, worst hands, worst body, Disfigured, double, twin, dialog, book, multiple fingers, deformed, deformity, ugliness, poorly drawn face, extra_limb, extra limbs, bad hands, wrong hands, poorly drawn hands, messy drawing, cropped head, bad anatomy, lowres, extra digit, fewer digit, worst quality, low quality, jpeg artifacts, watermark, missing fingers, cropped, poorly drawn

1 year ago

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Model

SSD-1B

Guidance Scale

7

Dimensions

1024 × 1024

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[replicant] a blonde 40yo woman stands before a sleek, humanoid robot in her bedroom. She gazes at the soft and warm machine with a mixture of curiosity and longing, her heart pounding in anticipation of what is to come.With a hesitant but determined step, she reaches out and touches the robot's cold, smooth surface.
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[replicant] a blonde 40yo woman stands before a sleek, humanoid robot in her bedroom. She gazes at the soft and warm machine with a mixture of curiosity and longing, her heart pounding in anticipation of what is to come.With a hesitant but determined step, she reaches out and touches the robot's cold, smooth surface.
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[replicant] a blonde 40yo woman stands before a sleek, humanoid robot in her bedroom. She gazes at the soft and warm machine with a mixture of curiosity and longing, her heart pounding in anticipation of what is to come.With a hesitant but determined step, she reaches out and touches the robot's cold, smooth surface.
The growth in technologies for capturing the environment in action, such as exoskeletons, manipulation gloves and smart glasses, is generating or will generate a large volume of data documenting the interactions of humans with their work environment. As learning by imitation advances, this data is invaluable for training robots. Just as the digitisation of text prepared the way for large language models, this data will help robots to learn new tasks by observing humans. One of the lessons of LLM
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