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Latest from Amap Tech

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Amap Tech

Aug 5, 2026 · Artificial Intelligence

How the Evaluation‑Verification Reward Boosts Consistency in Multi‑Reference Image Editing

The Evaluation‑Verification Reward (EVR) framework introduces a multi‑dimensional assessment and a verification step to provide reliable reinforcement‑learning rewards for multi‑reference image editing, addressing detail loss, scene pollution, instruction errors, and hallucinations while improving reference, scene, visual harmony, and instruction consistency.

computer graphicsevaluation-verification rewardmulti-reference image editing

0 likes · 8 min read

How the Evaluation‑Verification Reward Boosts Consistency in Multi‑Reference Image Editing

Amap Tech

Aug 3, 2026 · Artificial Intelligence

Engineering Standards, Not Model Limits, Set the Ceiling for AI Delivery in AutoSDK

The article analyzes how the automotive industry's shift to AI‑defined software demands enterprise‑grade SDK delivery, outlines a four‑part AI Native solution that embeds process, domain knowledge, quality guards and observability into AutoSDK, and reports measurable gains such as a 73% defect reduction and a 84% code adoption rate.

AI engineeringAI-nativeAutoSDK

0 likes · 15 min read

Engineering Standards, Not Model Limits, Set the Ceiling for AI Delivery in AutoSDK

Amap Tech

Jul 31, 2026 · Artificial Intelligence

SCALAR++: Scale‑Aware Visual Autoregressive Learning for Efficient Controllable Image Generation

SCALAR++ introduces a scale‑wise conditional decoding mechanism and a layer‑shared LoRA‑based conditioning strategy that cut parameters by 43% and memory by 39% while achieving equal or better image quality and control precision than diffusion baselines, as demonstrated on ImageNet and MultiGen‑20M benchmarks.

LoRAcomputer visioncontrollable image generation

0 likes · 8 min read

SCALAR++: Scale‑Aware Visual Autoregressive Learning for Efficient Controllable Image Generation

Amap Tech

Jul 29, 2026 · Artificial Intelligence

ABot-C0: A General‑Purpose Control Intelligence Platform for Quadruped Robots

ABot-C0 presents a unified quadruped control stack that builds 16,074 physically‑validated motion trajectories, achieves 91.02% zero‑shot tracking success and 83.2% full‑terrain success, and demonstrates real‑time deployment at 200 Hz motor control and 50 Hz decision making.

LiDAR perceptionSim2Realbehavior cloning

0 likes · 11 min read

ABot-C0: A General‑Purpose Control Intelligence Platform for Quadruped Robots

Amap Tech

Jul 10, 2026 · Artificial Intelligence

ABot-M0.5: The First Unified World Action Model for Mobile Manipulation

ABot-M0.5 introduces a unified world action model that aligns video prediction, intermediate latent actions, and low‑level physical control for mobile manipulation, achieving state‑of‑the‑art long‑horizon success rates and fine‑grained precision across benchmarks such as RoboCasa365, RoboTwin, and LIBERO, while detailing novel architectural components and a three‑stage progressive training regime.

Mobile ManipulationWorld Action Modelbenchmark results

0 likes · 14 min read

ABot-M0.5: The First Unified World Action Model for Mobile Manipulation

Amap Tech

Jul 9, 2026 · Artificial Intelligence

A 24/7 Product Expert: Building and Evolving a Digital Employee for the Product Center

This article chronicles the end‑to‑end engineering journey of a domain‑specific digital employee for a product center, detailing how a large‑model‑driven agent was iteratively built, evaluated, and evolved to automate repetitive data retrieval, enforce hard constraints, and continuously improve through self‑modifying skills.

AI AgentDigital EmployeeMCP

0 likes · 24 min read

A 24/7 Product Expert: Building and Evolving a Digital Employee for the Product Center

Amap Tech

Jul 6, 2026 · Artificial Intelligence

Gaode’s World Model Enables Real‑Time Physical Interaction and Scene Construction

At the 2026 Global Digital Economy Conference, Alibaba Gaode unveiled its ABot full‑stack embodied AI system, the autonomous guide‑dog robot Gaode Tutu, and the DreamX‑World real‑time interactive world model, detailing their architecture, performance metrics, and practical demonstrations.

ABotDreamX-WorldGaode

0 likes · 8 min read

Gaode’s World Model Enables Real‑Time Physical Interaction and Scene Construction

Amap Tech

Jul 2, 2026 · Frontend Development

How AI‑Native Refactoring Revamped a Massive Store Front‑End System

The article details a large‑scale AI‑driven refactor of Gaode's store front‑end, explaining why AI was needed, the four core technologies (FilePlan, Task Orchestrator, Clean‑Spec, Knowledge‑Loop), concrete metrics such as 624 AI commits, 6000 anti‑patterns cleared, and the resulting architectural, component and quality improvements.

AI‑Driven RefactoringFrontend ArchitectureReAct

0 likes · 27 min read

How AI‑Native Refactoring Revamped a Massive Store Front‑End System

Amap Tech

Jul 2, 2026 · Frontend Development

How Gaode’s Search Frontend Refactor Used Harness to Drive Complex Engineering Evolution

The article details Gaode’s front‑end overhaul of the AJX search result page, describing how a project‑level Harness workflow with coordinated agents, a five‑stage pipeline, code‑map generation, controlled code emission, style‑codex locking, accounting assets, and runtime quality loops enabled systematic, auditable, and reusable AI‑assisted refactoring of a massive codebase.

AI refactoringAJXGaode

0 likes · 18 min read

How Gaode’s Search Frontend Refactor Used Harness to Drive Complex Engineering Evolution

Amap Tech

Jun 30, 2026 · Artificial Intelligence

Six ECCV 2026 Papers – Vision, Video Generation, Visual‑Language Navigation

ECCV 2026 received 10,473 submissions and accepted 2,883 (27.5%); Gaode contributed six papers spanning computer vision, generative video, and visual‑language navigation, each presenting novel reinforcement‑learning or multimodal frameworks, new datasets, and benchmark results that outperform prior state‑of‑the‑art methods.

ECCV 2026computer visionmultimodal AI

0 likes · 13 min read

Six ECCV 2026 Papers – Vision, Video Generation, Visual‑Language Navigation