aKin's intelligent assistants combine a deeper level of understanding with reasoning capabilities to support complex tasks, and to help people make more objective, informed, and responsible decisions.
By harnessing the fusion of modern neurosciences and chaos theory approaches, aKin's innovative state-based interactive AI transcends the shallow world of chatbots, and enables human-like reasoning, interaction, and problem solving.
The range of applications for aKin's AI spans the most ambitious tasks involving multi-modal, multi-user interaction, and complex system optimisation, from artificial habitats to our own homes.
For the first time, generative AI allows complex task support for human-robot collaboration. In a world-first project, we developed both AI software and hardware for TRL8 task support in space environments. Previously robots were constrained to industrial environments, or simple social robots in human domestic environments. Our robots today are aware of the human state, and are able to manage complex iterative tasks.
Current AIs are unable to manage complex systems. They can only perform linear tasks like scheduling and resource optimization. Complex systems have dynamic feedback loops, shifting variables, and nebulous goals. They have multiple humans in varying states of emotional and functional capacity, each with tasks to do, and resources to manage. aKin's epigenetic AI has been embodied in PAL, a habitat and environmental manager for NASA’s JPL, and aKin, a household manager which is in scale-up with the Australian Federal Government funding support for disability, aged care and primary caregiver applications.
aKin has created an empathic Generative AI for chat. Chat-bots today have either a social function (entertainment, Q&A or search bots) or task performance function (“turn on the lights”). In both cases these are single-turn, and human-driven with prompt-driven output, rather than a true reciprocal relationship. Using chaos theory, aKin has successfully modelled human life as a deep river of state, with the human persona (emotional state, values, drivers) as the underlying current, and a ‘mental model’ or event trajectory as the undercurrent driving decision making. Inputs and output are not the ‘problem to be solved,” they are mere clues to this state river. This means aKin can function in a low-prompt environment.
Helper supports complex tasks with autonomous problem solving. Helper provides both cognitive and physical assistance and is embodied as an autonomous robot.
Inspector understands what is happening in the environment, identifies anomalies, creates alerts, and performs AI Analytics. Inspector’s embodiment is a swarm of smaller robots with sensors.
Manager is an ambient AI brain, with an overarching view of the whole environment. It understands people, processes, events and the habitat as a whole system. Manager is embodied in a ‘brain’ represented by an abstract avatar.
We are working with a synergy of neuroscience, cognitive theories, behavioural science, and multimodal learning to develop AI that understand humans. This spans language, emotion, culture, values, and goal alignment in order to achieve deep and trusted relationships between humans and AI.
Assistive robot to perform tasks related to the activities of daily living, particularly for those with mobility issues and cognitive disabilities.
Our robots will give people independence and empower them to complete complex tasks in and around the home.
Our assistive robots will enable an enjoyable and healthy lifestyle, both physically and mentally.
Our AI with empathy has been adapted to manage the home and support activities of daly living
