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Amap Tech

Official Amap technology account showcasing all of Amap's technical innovations.

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Recent Articles

Latest from Amap Tech

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Amap Tech
Amap Tech
Aug 20, 2026 · Artificial Intelligence

How Gaode Momentum’s “TuTu” Robot Dog Achieves Fully Autonomous Multi‑Scenario Operations

The article analyzes how Gaode Momentum’s TuTu robot dog overcomes high deployment costs by using map‑free spatial understanding, multimodal perception, and a unified embodied AI brain to enable reliable autonomous navigation and task execution across five diverse real‑world scenarios.

autonomous navigationembodied AImultimodal perception
0 likes · 11 min read
How Gaode Momentum’s “TuTu” Robot Dog Achieves Fully Autonomous Multi‑Scenario Operations
Amap Tech
Amap Tech
Aug 14, 2026 · Artificial Intelligence

How AutoSDK Builds a Self‑Evolving AI Coding Loop for Enterprise Delivery

The article explains why a single successful AI‑generated code run is insufficient for enterprise software, and how AutoSDK uses built‑in observability, Loop Engineering, and a four‑stage "observe‑attribute‑intervene‑validate" loop—supported by concrete metrics, trace and log pillars—to achieve stable, continuously improving AI coding delivery.

AI codingLoop EngineeringMetrics
0 likes · 17 min read
How AutoSDK Builds a Self‑Evolving AI Coding Loop for Enterprise Delivery
Amap Tech
Amap Tech
Aug 13, 2026 · Artificial Intelligence

Three Amap Papers at CIKM 2026: Route Planning, Generative Search & Recommendation, and Causal Inference

The article showcases three CIKM 2026 papers from Amap—GenMRP for real‑time multi‑route planning, IntSR a deployed generative search‑and‑recommendation system, and FunnelCausalNet for multi‑tier coupon allocation—detailing their motivations, methods, experimental results, and industrial impact.

CIKM 2026amapcausal inference
0 likes · 8 min read
Three Amap Papers at CIKM 2026: Route Planning, Generative Search & Recommendation, and Causal Inference
Amap Tech
Amap Tech
Aug 12, 2026 · Artificial Intelligence

How Harness Enables Controllable AI Delivery for Automotive Software

The article analyzes why enterprise AI coding often loses control, outlines five typical risk categories, and shows how Harness and AutoSDK implement three defense lines—pre‑control, mid‑control, and post‑control—to embed context governance, behavior constraints, AI self‑testing, and feedback left‑shift, achieving measurable reductions in context usage and defect leakage.

AIAI TestingAutoSDK
0 likes · 20 min read
How Harness Enables Controllable AI Delivery for Automotive Software
Amap Tech
Amap Tech
Aug 11, 2026 · Artificial Intelligence

From Simple Q&A to Fact‑Checked Evidence: Building a Content Digital Employee at Gaode

The article details Gaode's engineering practice of creating a content‑focused digital employee that uses a structured business map, LLM‑driven wiki, and multi‑layered evidence collection to turn raw alerts or user complaints into reproducible, audit‑ready root‑cause analyses.

AI agentBusiness MapKnowledge Management
0 likes · 26 min read
From Simple Q&A to Fact‑Checked Evidence: Building a Content Digital Employee at Gaode
Amap Tech
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
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
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.

Computer VisionLoRAcontrollable image generation
0 likes · 8 min read
SCALAR++: Scale‑Aware Visual Autoregressive Learning for Efficient Controllable Image Generation
Amap Tech
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