Embodied AI on KAD

ULTRA Lets Humanoid Robots Perform Whole-Body Tasks From Sparse Goals

Sat, 26 Sep 2026 00:31:33 +0800

ULTRA Lets Humanoid Robots Perform Whole-Body Tasks From Sparse Goals

For humans, carrying a box from the floor to a target location is a routine task. For a humanoid robot, however, the same action requires tightly coordinated control of the entire body.

GPT-6 Astra Directing Robots? Why Embodied AI Needs More Than a Foundation Model

Tue, 22 Sep 2026 21:49:21 +0800

GPT-6 Astra Directing Robots? Why Embodied AI Needs More Than a Foundation Model

📋 Summary: GPT-6 Astra’s reported performance in robotic control highlights how quickly foundation models are moving toward physical-world interaction. But strong benchmark results do not automatically translate into safe, reliable, long-term robot operation. Real-world embodied AI still requires execution recovery, structured memory, safety constraints, skill management, and continuous adaptation. RoboRSI takes this systems-level approach by placing a multi-agent self-evolution harness around foundation models.

OpenAI and the Race to Scale Embodied AI

Fri, 18 Sep 2026 23:18:36 +0800

OpenAI and the Race to Scale Embodied AI

A newly published simulation evaluation from researchers associated with Galaxy General has highlighted a potentially important direction for embodied AI: pairing a large general-purpose model such as GPT-6 Astra with an embodied policy such as π0.5.

AgentVLN: Bringing Vision-Language Navigation Into the Agent Era

Fri, 11 Sep 2026 23:53:32 +0800

AgentVLN: Bringing Vision-Language Navigation Into the Agent Era

Vision-Language Models (VLMs) have become increasingly capable at understanding images, interpreting natural language, and performing semantic reasoning. However, transferring those capabilities from static visual tasks into the physical world remains a major challenge.

HOMIE Gen2: Ropedia's Physical AI Experience Scaling Law

Tue, 01 Sep 2026 19:52:41 +0800

HOMIE Gen2: Ropedia’s Physical AI Experience Scaling Law

Robotics has yet to experience an equivalent of the GPT moment.

Trusted Robots Need a Trusted Software Foundation

Fri, 28 Aug 2026 22:46:20 +0800

Trusted Robots Need a Trusted Software Foundation

Robotics is rapidly moving from controlled laboratories and fenced industrial environments into public spaces, factories, healthcare facilities, commercial venues, and homes. The transition from technical demonstration to dependable deployment, however, introduces a fundamentally different engineering challenge: robots must remain safe, deterministic, and predictable when operating in environments that are neither controlled nor fully observable.

Why Large Language Models Reason and Behave Like Humans

Fri, 21 Aug 2026 00:00:00 +0000

Why Large Language Models Reason and Behave Like Humans

Why do modern Large Language Models increasingly sound, reason, plan, and behave like humans?

DeepSeek and Unitree: A Strategic Bet on Embodied AI

Fri, 07 Aug 2026 11:04:26 +0800

DeepSeek and Unitree: A Strategic Bet on Embodied AI

DeepSeek’s investment in Unitree Robotics marks a potentially important convergence between foundation models and physical robotics.

Spirit v1.6 Tops RoboArena: Why Real-World Data May Decide the Future of Physical AI

Thu, 04 Jun 2026 00:15:55 +0800

Spirit v1.6 Overtakes Cosmos 3: The Real Battle in Physical AI Is Data

At COMPUTEX and GTC Taipei 2026, NVIDIA placed physical AI and embodied intelligence at the center of its long-term vision. A major highlight was the launch of Cosmos 3, which the company described as the world’s first fully open foundation model for physical AI, combining visual reasoning, world generation, and action planning capabilities.

GIPO: Solving Utilization Collapse in Large-Scale RL Training

Mon, 18 May 2026 21:48:07 +0800

GIPO: Eliminating PPO’s “Utilization Collapse” in Large-Scale Reinforcement Learning

Modern reinforcement learning systems are increasingly colliding with a brutal engineering reality: policy lag.

How Newton Is Becoming the CUDA of Physical AI Simulation

Thu, 14 May 2026 22:41:11 +0800

How Newton Is Becoming the CUDA of Physical AI Simulation

Over the past decade, the defining bottleneck of artificial intelligence was compute power. The explosive growth of large language models depended on scaling GPU clusters, distributed training systems, and unified acceleration frameworks.

Scenethesis: NVIDIA and Purdue Advance Agentic Text-to-3D Generation

Fri, 08 May 2026 22:39:34 +0800

Scenethesis: NVIDIA and Purdue Advance Agentic Text-to-3D Generation

The evolution of large language models is rapidly shifting from static content generation toward autonomous planning, reasoning, and iterative execution. This transition is especially important in the field of Embodied AI, where intelligent systems must operate inside physically realistic environments rather than purely symbolic text spaces.

4D Spatial Intelligence: From 3D Reconstruction to Physics

Sun, 17 Aug 2025 11:03:11 +0800

4D Spatial Intelligence: From 3D Reconstruction to Physics

4D spatial intelligence is emerging as a foundational capability for AI systems that need to understand not only what exists in an environment, but also how that environment changes over time and responds to physical interactions.