Gleam Lab · Blog Archive
Blog Page 5
Technical exploration and engineering notes, 655 articles in total.
AI Investigation #94: Robot Algorithm Real-machine Validation: Test Platforms, Deployment and Interface Integration
This article explores three core aspects of robot algorithm real machine validation - test platform selection, deployment process design and interface integration.
AI Investigation #93: Robot Simulation Tools - Comprehensive Comparison from Gazebo to Isaac Sim
Simulation tools are an important part of robot R&D, enabling algorithm verification and system debugging in risk-free environments, accelerating iteration.
AI Investigation #92: Robot Motion Control - From Traditional Models to Deep Learning Methods
Robot motion control can be divided into two categories: traditional model-based methods and deep learning-based intelligent control.
AI Investigation #91: Multi-modal Data Annotation Tools - From Label Studio to 3D Point Cloud Labeling
In robot vision and perception model training, high-quality multi-modal data annotation tools are crucial.
AI Investigation #90: Robot Data Collection and Communication Middleware: ROS/ROS2, LCM and Industrial Bus Comparison
Modern robot systems require efficient data collection and communication middleware to connect sensors, controllers and computing units, achieving collaborative perceptio...
AI Investigation #89: Multi-dimensional Autonomic Nervous System Assessment Beyond HRV
Individual differences in autonomic nervous system (ANS) profoundly affect disease susceptibility.
AI Investigation #88: HRV and the Autonomic Nervous System - Monitoring, Health Meaning and Improvement
Higher HRV: Stronger vagal tone, more relaxed Lower HRV: Chronic stress, fatigue, cardiovascular disease
AI Investigation #87: HRV Time Domain and Frequency Domain Metrics: SDNN, RMSSD, pNN50 and Spectral Analysis
HRV calculation methods mainly include time domain and frequency domain.
AI Investigation #85: Autonomic Nervous System Assessment - HRV, BPV, EDA and Pupillary Reflex
Measurement technology: ECG, PPG Analysis: Time domain, frequency domain, nonlinear
AI Investigation #84: Fat Loss Science - A Practical Guide to Maintaining Low Body Fat
Maintaining low body fat is more challenging than losing it. The human body is naturally inclined to store energy.
AI Investigation #83: Fat Loss Science - Complete Diet Guide
During fat loss, intake is recommended at 1900-2100 kcal, with daily deficit of 300-500 kcal.
AI Investigation #82: Fat Loss Science - A Fitness Guide for Lean People Who Want Fat Loss and Better Shape
For lean people, the key to fat loss and body shaping is 'muscle building primary, cardio auxiliary'.
AI Investigation #81: Fat Loss Science - What Body Fat Percentage Is Healthy?
Body fat percentage affects both appearance and health directly. Healthy body fat for men is 10%~20%, ideal around 15%; for women it's between 18%~28%.
AI Investigation #80: Why Fat Loss Must Be Science-Based - Energy Balance and Metabolism Explained
The core mechanism of fat loss is energy deficit: when calorie intake is less than consumption, the body uses fat stores for energy.
AI Investigation #78: LFP Lithium Battery - Shallow Charging vs Deep Cycling and Their Impact on Battery Life
Shallow charge frequent and deep discharge charge have significantly different impacts on LFP battery life.
AI Investigation #79: LFP Battery Degradation Patterns Under Different Charging Strategies
The widespread use of LFP batteries in Tesla and other models has accumulated large amounts of real-world lifetime data.
AI Investigation #77: LFP Lithium Iron Phosphate vs Ternary Lithium - Chemistry, Aging and Applications
Lithium Iron Phosphate (LFP) batteries, with their stable olivine crystal structure, significantly outperform ternary lithium (NMC/NCA) batteries in cycle life and safety.
AI Investigation #76: When Robots Enter Life - Embodied AI's Deep Impact on Employment and Social Structure
The widespread application of embodied AI is profoundly changing social structure.
AI Investigation #75: From LLM to LBM - Hierarchical Robot Control Architecture Driven by Large Models
The integration of Large Language Models (LLM) with robot real-time control is driving intelligent upgrades in robotics.
AI Investigation #74: Robot Learning Breakthroughs - Meta-Learning and Sim-to-Real Transfer
This article explores fast learning capabilities of embodied AI agents, focusing on meta-learning and few-shot learning methods.