Tagged articles

VLA

20 articles · Page 1 of 1

Jul 26, 2026 · Artificial Intelligence

Understanding VLA Safety: A Visual Overview and Design Guidelines for Robot Security

The article reviews the Vision‑Language‑Action (VLA) safety landscape, classifies attacks and defenses across training and inference phases, highlights the multimodal attack surface, real‑time constraints, and simulation‑to‑reality gaps, and proposes a fast‑slow dual‑loop defense architecture for safe embodied AI.

AI safetyDefense StrategiesMultimodal Attack

0 likes · 9 min read

Understanding VLA Safety: A Visual Overview and Design Guidelines for Robot Security

Machine Learning Algorithms & Natural Language Processing

Jul 22, 2026 · Artificial Intelligence

Harness VLA Redefines Embodied Intelligence Execution and Beats NVIDIA Cap‑X

The paper introduces Harness VLA, a system that adds a Harness Layer to frozen Vision‑Language‑Action models, uses an Agentic Planner for task orchestration and failure recovery, and achieves 82.4% success on the challenging LIBERO‑Pro benchmark—far surpassing Pi_RLinf (50%), NVIDIA Cap‑X (18.2%) and Berkeley RATS (43.8%).

Agentic PlannerVLAbenchmark

0 likes · 21 min read

Harness VLA Redefines Embodied Intelligence Execution and Beats NVIDIA Cap‑X

Machine Heart

Jul 9, 2026 · Artificial Intelligence

How DM0.5 Brings Zero‑Shot, Long‑Term Memory, and Robustness to Real‑World VLA

DM0.5 advances the VLA paradigm by adding zero‑shot capability, efficient fine‑tuning, up to 60‑second memory, stronger resistance to visual and human interference, and cross‑robot transfer, achieved through long‑history modeling, embodied reasoning tasks, trajectory‑alignment supervision, and rigorous multi‑source data cleaning pipelines.

Long-term memoryVLAdata cleaning

0 likes · 13 min read

How DM0.5 Brings Zero‑Shot, Long‑Term Memory, and Robustness to Real‑World VLA

Machine Heart

Jul 8, 2026 · Artificial Intelligence

How LingBot‑VLA 2.0 Powers 20 Robot Configurations with an Open‑Source Embodied Brain

LingBot‑VLA 2.0 introduces a token‑level loss‑free MoE, dual‑query distillation, and a 60k‑hour heterogeneous dataset to achieve cross‑embodiment visual‑language‑action capabilities across 20 robot morphologies, delivering superior benchmark performance and sub‑130 ms inference while being fully open‑sourced.

Data EngineeringFuture PredictionMixture of Experts

0 likes · 16 min read

How LingBot‑VLA 2.0 Powers 20 Robot Configurations with an Open‑Source Embodied Brain

Machine Heart

Jun 15, 2026 · Artificial Intelligence

HyVLA-0.5: Sub‑millimeter UMI Data and Real‑Robot Reinforcement Eliminate Heavy Tele‑operation

HyVLA-0.5, an open‑source embodied VLA model from Tencent Robotics X, leverages over 10,000 hours of sub‑millimeter UMI demonstration data and a novel FlowPRO reinforcement pipeline to achieve more than 90% success on simulated and real‑world tasks, while supporting cross‑embodiment transfer and asynchronous deployment.

FlowPROHyVLA-0.5Reinforcement Learning

0 likes · 16 min read

HyVLA-0.5: Sub‑millimeter UMI Data and Real‑Robot Reinforcement Eliminate Heavy Tele‑operation

Machine Heart

Jun 1, 2026 · Artificial Intelligence

How Galaxea’s Self‑Regressive G0.5 Model Sweeps Seven Embodied Benchmarks

Galaxea’s new G0.5 model outperforms the previous π0.5 baseline on seven diverse embodied‑AI benchmarks by leveraging a unified self‑regressive transformer that jointly generates reasoning and action tokens, achieving large gains in zero‑shot transfer, real‑robot fine‑tuning, simulation, and long‑horizon tasks.

Action CodecNative CoTRobotics Benchmarks

0 likes · 13 min read

How Galaxea’s Self‑Regressive G0.5 Model Sweeps Seven Embodied Benchmarks

Machine Heart

May 28, 2026 · Artificial Intelligence

Can a Pre‑trained Embodied Model Work Out‑of‑the‑Box? New Chinese Open‑Source VLA Model Shows Yes

The newly open‑sourced Wall‑OSS‑0.5 VLA model demonstrates that a large‑scale pre‑trained embodied robot brain can achieve strong zero‑shot performance on 17 real‑world tasks, exhibit staircase emergence with longer pre‑training, and far surpass the industry baseline after fine‑tuning, while also revealing current precision limits.

PretrainingVLAbenchmark

0 likes · 15 min read

Can a Pre‑trained Embodied Model Work Out‑of‑the‑Box? New Chinese Open‑Source VLA Model Shows Yes

Baidu Intelligent Cloud Tech Hub

May 22, 2026 · Artificial Intelligence

How Baidu Baige’s Full‑Stack AI Infra Accelerates Embodied Model Iteration

The article details Baidu Baige’s end‑to‑end AI infrastructure for embodied intelligence, covering VLA and world‑model architectures, scaling challenges for medium‑sized models, cloud‑based motion‑control pipelines, open‑source integration, hardware‑aware training optimizations, and simulation‑engine improvements that together speed up model development and deployment.

AI InfraBaidu BaigeVLA

0 likes · 13 min read

How Baidu Baige’s Full‑Stack AI Infra Accelerates Embodied Model Iteration

Machine Heart

May 14, 2026 · Artificial Intelligence

Introducing TTFA: Hong Kong University’s Open‑Source FASTER Gives VLA Models Instant Reaction

The paper identifies real‑time latency as the main obstacle for deploying VLA models on robots, proposes the TTFA metric and the FASTER framework with a Horizon‑Aware Schedule, mixed scheduling and streaming inference, and demonstrates through extensive GPU and task experiments that TTFA and reaction time can be cut by up to three‑fold without sacrificing motion quality.

FASTERTTFAVLA

0 likes · 14 min read

Introducing TTFA: Hong Kong University’s Open‑Source FASTER Gives VLA Models Instant Reaction

PaperAgent

May 9, 2026 · Artificial Intelligence

How ActDistill Slashes Deployment Costs of VLA Large Models

ActDistill, proposed by Tongji University and collaborators, reduces the inference latency, compute consumption, and action-loop speed of Vision‑Language‑Action (VLA) models by selectively distilling action‑relevant knowledge, achieving up to 1.67× speedup while preserving control quality on real robot hardware.

ActDistillDynamic RoutingModel distillation

0 likes · 13 min read

How ActDistill Slashes Deployment Costs of VLA Large Models

Machine Heart

Apr 30, 2026 · Artificial Intelligence

How LWD Redefines Embodied AI Training with Fleet‑Scale Reinforcement Learning

LWD (Learning While Deploying) introduces a distributed multi‑robot reinforcement‑learning framework that continuously improves VLA policies during real‑world deployment, leveraging DIVL, QAM, dynamic n‑step TD and an asynchronous actor‑learner architecture to achieve over 90% success on five‑minute tasks and outperform traditional behavior‑cloning, HG‑Dagger and RECAP baselines.

Distributed TrainingLWDReinforcement Learning

0 likes · 13 min read

How LWD Redefines Embodied AI Training with Fleet‑Scale Reinforcement Learning

Alibaba Cloud Big Data AI Platform

Apr 22, 2026 · Artificial Intelligence

How to Build an End‑to‑End Hand‑Video to VLA Data Pipeline on Alibaba Cloud PAI with Data‑Juicer

This article details a step‑by‑step, distributed pipeline built on Alibaba Cloud PAI using Data‑Juicer and Ray that transforms raw egocentric hand videos into LeRobot v2.0‑compatible Vision‑Language‑Action (VLA) training data, covering video splitting, frame extraction, camera calibration, 3D hand reconstruction, pose estimation, action captioning, and export, with code snippets, performance numbers, and references.

Data PipelineData-JuicerLerobot

0 likes · 29 min read

How to Build an End‑to‑End Hand‑Video to VLA Data Pipeline on Alibaba Cloud PAI with Data‑Juicer

Machine Heart

Apr 22, 2026 · Artificial Intelligence

China’s AlphaBrain Platform Launches First Full‑Stack Open‑Source Brain‑Like VLA

The AlphaBrain Platform, an open‑source embodied‑intelligence suite from China’s AI² Robotics, combines a world‑model stack, the pioneering NeuroVLA brain‑like model with spiking‑neuron actions, low‑cost RL‑Token training, and cross‑architecture continuous learning, all validated on leading robotics benchmarks.

AlphaBrainNeuroVLARL token

0 likes · 11 min read

China’s AlphaBrain Platform Launches First Full‑Stack Open‑Source Brain‑Like VLA

Machine Heart

Apr 17, 2026 · Artificial Intelligence

Can π0.7 Unlock Compositional Generalization and Cross‑Embodiment Transfer for VLA?

The new π0.7 model from Physical Intelligence demonstrates emergent compositional generalization and cross‑embodiment transfer in visual‑language‑action (VLA) robots by leveraging massive heterogeneous data and richly structured prompts, outperforming specialist Recap models on tasks such as air‑fryer cooking, clothing folding, and coffee making.

Compositional GeneralizationCross-embodiment TransferPrompt engineering

0 likes · 11 min read

Can π0.7 Unlock Compositional Generalization and Cross‑Embodiment Transfer for VLA?

PaperAgent

Apr 13, 2026 · Artificial Intelligence

How Keyframe‑Chaining VLA Gives Robots Long‑Term Memory and Faster Reasoning

The article introduces the Keyframe‑Chaining VLA (KC‑VLA) framework, which replaces dense video sampling with semantic keyframe linking to provide robots with global temporal awareness, presents a new long‑term memory benchmark, and demonstrates superior performance in both simulation and real‑world robotic experiments.

AIKeyframe ChainingLong-term memory

0 likes · 9 min read

How Keyframe‑Chaining VLA Gives Robots Long‑Term Memory and Faster Reasoning

AI Explorer

Mar 17, 2026 · Artificial Intelligence

RISE Enables Breakthrough in Vision‑Language‑Action Learning for Embodied AI

The article examines the limitations of vision‑language‑action (VLA) models in real‑world tasks, explains how the RISE technique from Hong Kong University uses internal simulation, reflection and imagination to cut training costs by an order of magnitude, and discusses its implications for future embodied AI.

RISEReinforcement LearningVLA

0 likes · 6 min read

RISE Enables Breakthrough in Vision‑Language‑Action Learning for Embodied AI

Baidu Geek Talk

Feb 2, 2026 · Artificial Intelligence

How Cloud AI Infra Powers the Next Wave of Embodied Intelligence

This article outlines the rapid rise of embodied intelligence, the explosion of Vision‑Language‑Action (VLA) research, and how cloud‑based AI infrastructure—including multi‑level IaaS, data pipelines, dual‑system model designs, and reinforcement‑learning workflows—addresses emerging scaling and deployment challenges.

Multimodal ModelsReinforcement LearningVLA

0 likes · 13 min read

How Cloud AI Infra Powers the Next Wave of Embodied Intelligence

DataFunSummit

Jan 17, 2026 · Artificial Intelligence

How UnrealZoo Accelerates Embodied AI Research with High‑Fidelity Simulation

This article outlines the evolution from traditional AI to embodied intelligence, explains the Vision‑Language‑Action (VLA) paradigm, highlights data‑collection bottlenecks, introduces the UnrealZoo simulation platform built on Unreal Engine, and showcases real‑world case studies and future challenges for embodied AI research.

Data CollectionUnreal EngineVLA

0 likes · 16 min read

How UnrealZoo Accelerates Embodied AI Research with High‑Fidelity Simulation

PaperAgent

Jan 8, 2026 · Artificial Intelligence

How SOP Enables Scalable Online Post-Training for Real‑World Robots

The SOP (Scalable Online Post‑training) framework redesigns VLA post‑training from offline, single‑machine, sequential processing to a distributed, parallel online system, allowing robot fleets to continuously learn, share experiences, and scale intelligence while maintaining stability and generalization in complex real‑world environments.

Distributed TrainingPost-TrainingSOP

0 likes · 11 min read

How SOP Enables Scalable Online Post-Training for Real‑World Robots

AI Frontier Lectures

May 31, 2025 · Artificial Intelligence

Why Embodied Intelligence Is Exploding and What It Means for the Future

The article analyzes the recent surge in embodied intelligence, examines why physical agents matter despite advances in large language models, outlines common failure modes, discusses key research decisions such as 2D versus 3D perception and tactile sensing, and explores the roles of imitation learning, VLA, and reinforcement learning in shaping the field.

Reinforcement LearningVLAVision

0 likes · 24 min read

Why Embodied Intelligence Is Exploding and What It Means for the Future