Realbotix Corp. (“Realbotix” or the “Company”), a leading creator of humanoid products and companionship-based AI, has partnered with Compass UOL, a global leader in digital transformation services, and secured a $100,000 subsidy from Amazon Web Services (AWS), anticipated to be received in Q1, 2025, to complete the next generation of its robotic controller and AI. This funding will directly support the completion of key initiatives, including the development of Robot Controller 3.0, with the project expected to be completed by the end of Q2 2025.
“We expect that the Amazon subsidy and our partnership with Compass UOL will enable Realbotix’s next iteration of its unique social and companionship AI to come to market faster”
Further to the Company’s news release dated September 26, 2024, the Company also provided an update with respect to the assistive function to be performed by the Company’s humanoid robot, Aria, in favour of the Company’s board of directors.
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Compass UOL and Amazon Subsidy
This partnership focuses on developing a web-based robot controller with advanced full-body robotic animations, AI integration, and local processing capabilities. It also includes transitioning the current Realbotix application to a web-based platform with enhanced functionality, including expressive facial and body animations and updated AI integrations. Compass UOL, with AWS-certified professionals and competency designations in GenAI, Machine Learning, and Data & Analytics, shows expertise in addressing these challenges using its cutting-edge AI and GenAI solutions.
“We expect that the Amazon subsidy and our partnership with Compass UOL will enable Realbotix’s next iteration of its unique social and companionship AI to come to market faster,” said Andrew Kiguel, CEO of Realbotix. “This project will provide a significant leap forward for our AI powered humanoid robots.”
“Together with Realbotix and AWS, we’re pushing the boundaries of what’s possible, driving innovation and delivering solutions that bring us closer to the future of human-robot interaction,” said Dao Jensen, President of Compass UOL, North America.
Robot Controller 3.0 is a web-based technology, which the Company believes represents the next generation in humanoid robotics. With improved animation quality and seamless support for importing and running motion capture animations, it delivers unprecedented fluidity and realism in movement. Accessibility is central, as it is entirely web-based, enabling users to interact seamlessly across devices. This controller is paired with a significant hardware upgrade for the robot, enabling enhanced performance and capabilities. Additionally, it leverages cutting-edge AI technologies to bring smarter, more intuitive interactions to life, setting a new benchmark in robotics innovation.
This collaboration emphasizes innovation and quality, leveraging the technical expertise of both the Realbotix and Compass UOL teams. Realbotix remains focused on creating robots that enhance learning, connection, and play, with applications spanning companionship, education and entertainment, as Compass UOL keeps on accelerating the development of innovative and creative technologies, driving transformation across key industries.
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Update on Aria
The Company’s AI technology utilizes Chat GPT-4 and fine-tuned versions of open source “large language models”, each of which are hosted via a platform called Hugging Face, which, among other things, develops computation tools for building applications using machine learning. The AI embedded in the Company’s technology also includes certain proprietary software developed by the Company and leverages retrieval augmented generation (RAG), which is a technique for enhancing the accuracy and reliability of generative AI models, so that it references authoritative knowledge sources (external or internal) outside of its training data sources before generating a response.
In this case, the role of Aria, which is programmed to have knowledge of the Company’s business, is to process internal and external information relevant to the Company with a view to providing additional information and insight for the benefit of directors with respect to strategic decisions affecting the Company, not unlike the information and insight which would be provided to a board of directors by any third-party advisor. Importantly, Aria is simply an assistive (but not a determining) tool for the board of directors, supplementing or assisting the board of directors in carrying out its normal course duties and responsibilities. The information and insight provided by Aria would not be dispositive with respect to a decision to be made by the board of directors, but instead serve as a supplemental information/intelligence gathering tool for the benefit of directors (such that the Company does not have, and will not have, any dependency on Aria).
Aria may be instructed to perform the following functions for the Company: market analysis, risk management, supply chain management, strategy evaluation, stakeholder sentiment analysis, performance monitoring, and contract-based insights and innovation and product development.
In addition to ongoing development and refinement of the associated hardware, Aria’s AI embedded software is continuously monitored by the Company’s AI technical team, who, among other things, are tasked with the responsible use of AI by the Company and its products, including by: implementing systems to monitor model outputs for unexpected changes or inaccuracies; incorporating user feedback or other mechanisms to correct or refine model outputs over time; adding multiple models where discrepancies might highlight a potential hallucination; using structured knowledge bases or external fact-checking to verify model outputs; and integrating reinforcement learning from human feedback (RLHF) and more rigorous data curation to reduce biases and inaccuracies.
The Company defines artificial intelligence with reference to the Organisation for Economic Co-operation and Development’s (OECD) definition of AI Systems, being a machine-based system that infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments.
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Source – businesswire
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