Tagged articles

hierarchical planning

4 articles · Page 1 of 1
Machine Heart
Machine Heart
Jul 27, 2026 · Artificial Intelligence

Why Robots Need a “Thinking System”: τ0‑VLA Enables Long‑Term Task Execution

The article analyzes the limitations of reactive VLA models for long‑term robotic tasks and presents τ0‑VLA, a hierarchical “slow‑thinking, fast‑execution” system that integrates world‑model‑guided test‑time computation, large‑scale real‑world data, and a unified 40‑dimensional action space, achieving significantly higher success rates on multi‑step tasks.

Embodied AIhierarchical planninglong-term tasks
0 likes · 18 min read
Why Robots Need a “Thinking System”: τ0‑VLA Enables Long‑Term Task Execution
Machine Heart
Machine Heart
Apr 2, 2026 · Artificial Intelligence

ColaVLA Demonstrates Autonomous Driving Models Can Reason Without Text

ColaVLA replaces explicit text‑based reasoning with latent‑space inference and a hierarchical parallel planner, achieving lower trajectory error, reduced collision rates and up to ten‑fold faster inference while preserving safety and real‑time performance in autonomous driving benchmarks.

Safetyautonomous drivinghierarchical planning
0 likes · 11 min read
ColaVLA Demonstrates Autonomous Driving Models Can Reason Without Text
Data Thinking Notes
Data Thinking Notes
Oct 12, 2025 · Artificial Intelligence

Mastering AI Agent Planning: Architectures, Strategies, and Real-World Implementations

This article provides a comprehensive guide to AI Agent planning modules, covering their core responsibilities, architectural designs, major planning paradigms such as ReAct, Plan‑and‑Execute, Hierarchical Planning and Reflexion, detailed prompt engineering, execution frameworks, and practical case studies in data analysis and intelligent customer service.

AI planningPrompt EngineeringReAct
0 likes · 25 min read
Mastering AI Agent Planning: Architectures, Strategies, and Real-World Implementations
DevOps
DevOps
Jan 15, 2025 · Artificial Intelligence

Eko: Open‑Source Agent Framework for Building Production‑Ready Virtual Employees

Eko is an open‑source, cross‑platform agent framework that lets developers combine natural‑language prompts with programming code to create production‑grade virtual employees, featuring mixed agentic representation, environment‑aware architecture, hierarchical planning, visual‑interactive perception, and a multi‑level hook system for safe, controllable automation.

Agent FrameworkProduction Safetyenvironment-aware
0 likes · 8 min read
Eko: Open‑Source Agent Framework for Building Production‑Ready Virtual Employees