BOBO’s Features
BOBO’s 3 main structures
Physical Capabilities, Cognitive Abilities, Ed-Tech Applications.
These structures have unlimited development possibilities and every development undertaken within these structures will introduce a new version and unlock fresh possibilities




BOBO’S AGENTS
Visual Agent
AI-based analysis of camera-captured images for tasks like object detection, recognition, and tracking, enabling real-time interpretation and adaptive decision-making
Environmental Agent
AI-based analysis of sensory data from the surrounding environment, including lidar, distance sensors, cameras and other environmental factors, enabling systems to monitor, interpret, and respond to changes in real-time
Voice Agent
AI-based analysis of audio input to perform tasks such as speech recognition, sound detection, and voice commands interpretation, enabling systems to understand and respond to verbal interactions in real-time
Contextual Agent
Involves the use of large language models (LLMs) trained across multiple layers, running on our own servers, to analyze and interpret complex contextual data
Audio Agent
AI-based analysis of audio input to perform tasks such as speech recognition, sound detection, and voice commands interpretation, enabling systems to understand and respond to verbal interactions in real-time
Movement Agent
Involves the use of large language models (LLMs) trained across multiple layers, running on our own servers, to analyze and interpret complex contextual data
Voice Agent
Displaying appropriate facial expressions and visual data on the head and body-mounted screens, effectively communicating the system’s response to the user through visual cues
Emotional Agent
Analyzing the emotional states of both the system and the user through touch sensors and visual processing, enabling the system to generate appropriate responses based on emotional feedback
Learning Agent
eneral analysis of all inputs and outputs, with the implementation of relevant models to adapt and refine the system’s behavior, enhancing its ability to learn from interactions and gain subjectivity over time
Educational Content Agent
Processing selected curriculum materials according to the user’s preferred language and age, and adapting educational experiences to individual learning needs and implementing them interactively with the user
