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Optimizing Imitation Learning: How X‑IL is Shaping the Future of Robotics
Designing imitation learning (IL) policies involves many choices, such as…
Google DeepMind’s Gemini Robotics: Unleashing Embodied AI with Zero-Shot Control and Enhanced Spatial Reasoning
Google DeepMind has shattered conventional boundaries in robotics AI with…
π0 Released and Open Sourced: A General-Purpose Robotic Foundation Model that could be Fine-Tuned to a Diverse Range of Tasks
Robots are usually unsuitable for altering different tasks and environments.…
Researchers from Stanford and Cornell Introduce APRICOT: A Novel AI Approach that Merges LLM-based Bayesian Active Preference Learning with Constraint-Aware Task Planning
In the rapidly evolving field of household robotics, a significant…
Google DeepMind Researchers Propose RT-Affordance: A Hierarchical Method that Uses Affordances as an Intermediate Representation for Policies
In recent years, there has been significant development in the…
Latent Action Pretraining for General Action models (LAPA): An Unsupervised Method for Pretraining Vision-Language-Action (VLA) Models without Ground-Truth Robot Action Labels
Vision-Language-Action Models (VLA) for robotics are trained by combining large…
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The Nvidia Way: Jensen Huang and the Making of a Tech Giant
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AI Engineering: Building Applications with Foundation Models
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Co-Intelligence: Living and Working with AI
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The Nvidia Way: Jensen Huang and the Making of a Tech Giant
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The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
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Life 3.0: Being Human in the Age of Artificial Intelligence
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The Coming Wave: AI, Power, and Our Future
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The Scaling Era: An Oral History of AI, 2019–2025
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The Scaling Era: An Oral History of AI, 2019–2025
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