Environmental Embodied AI is an intelligent virtual agent capable of real-time perception, learning, and interaction with its surrounding environment.
Shaoshan Liu
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Author Archives
Autonomy 2.0: The Quest for Economies of Scale
An ever-evolving software stack and the digital twin paradigm will significantly accelerate progress in the autonomy industry.
Putting the Smarts into Robot Bodies
Delving into the key tradeoffs of building foundation models for embodied AI systems.
Societal Impacts of Embodied AI
A reliance on AI systems for routine tasks and emotional support could lead to a deterioration of communal bonds and increased social isolation.
The Vulnerability-Adaptive Protection Paradigm
Resiliency solutions for autonomous machines make trade-offs between resiliency and cost.
Establishing Standards for Embodied AI
The complexity of embodied AI systems underlines the imperative need for a standards framework to ensure their safety, reliability, performance, and usability.
Building Foundation Models for Embodied Artificial Intelligence
Delving into the tradeoffs of building foundation models for embodied AI systems.
Shaping the Outlook for the Autonomy Economy
Shaoshan Liu examines the role of autonomous machine computing in fostering the autonomy economy.
A Brief History of Embodied Artificial Intelligence, and its Outlook
Examining the history, current state, and future of Embodied Artificial Intelligence.
The Value of Data in Embodied Artificial Intelligence
Addressing the expensive and challenging endeavor of gathering EAI data.
Shape the Future of Computing
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