机器人，真的要来了么...？

40个工作流开源分享！百元工作流免费分享、0基础搭建！

40个工作流开源分享！百元工作流免费分享、0基础搭建！

AI绘画神操作！解锁姿势创作的N种可能！

之前教过用即梦的姿势参考功能复刻动作，今天小胖再来教你一个隐藏技巧，用景深参考大法，一键复刻各总神仙姿势，还能自由换装/换场景/变画风/改人物！

科学家把地球装进了大模型里，实现行星级实时模拟！

相关的学术研究： https://doi.org/10.48550/arXiv.2507.22291 https://doi.org/10.1038/s41586-025-09335-x https://doi.org/10.1038/s41593-025-02008-y https://doi.org/10.1038/s41586-025-09269-4

AI配音+声音设计全攻略：把AI从“辅助工具”变成必备的“创意伙伴”！

今天来讲讲影响影片质量的另一个关键——声音。声音不仅包括音乐、音效、还有旁白。很多刚接触剪辑的朋友都会遇到一个问题就是自己剪辑的片子没有“感觉”，往往是因为全程只用一首音乐剪辑，缺乏音效来丰富细节、旁白来强化主题。 本期视频我将会通过一条仅用音效和旁白制作的短片作为教学来和大家分享一些声音设计的小技巧。 --我是IUH4斯图，一个点子不多又爱炫的慢更博主。

为守AI与机器人未来，特斯拉用290亿美元换马斯克继续掌舵

让AI自我反思 提高回答质量的8句话 #AI #Ai创业 #Agent #智能体 #教你用AI

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关于我的xx在哪里的视频制作方法

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来点干货！如何通过白嫖制作一条全动态的丧尸类视频？血十字二创ai教学！

这是一条三十块预算下如何制作一个10分钟的丧尸题材ai全动视频的视频，希望无论做ai的小伙伴还是丧尸类狂病类血十字类的小伙伴们都能提供一点思路和帮助，大家一起加油！！对这方面不感兴趣的小伙伴可以进来看看开头跟结尾生图失败的抽象部分。

Locomotion and Reconfiguration Autonomy for Spherical Freeform Modular Robots

Authors: Yuxiao Tu, Guanqi Liang, Di Wu, Xinzhuo Li, Tin Lun Lam Corresponding author: Tin Lun Lam (Email: tllam@cuhk.edu.cn; Website: https://freeformrobotics.org/tllam ) Published in: International Journal of Robotics Research (Accepted) Paper: (To be available) Freeform Robotics: https://freeformrobotics.org Title: Locomotion and Self-reconfiguration Autonomy for Spherical Freeform Modular Robots Abstract: Modular robotic systems consist of multiple repeated modules capable of transforming into various configurations. Matching these configurations to a library enables efficient automation, even with high degrees of freedom and strict motion constraints. Prior work has automated cube-based modular robots by mapping predefined gait sequences to module controllers. However, due to limited control accuracy and docking misalignment tolerance, such methods struggle with robust 3D self-reconfiguration without external sensors. Freeform modular robots, featuring continuous spherical joint connections and no fixed-point connectors, offer greater misalignment tolerance and environmental adaptability. Yet, their redundant degrees of freedom and incompatible reconfiguration approaches make existing library-based systems unsuitable. This article proposes a novel autonomy framework for locomotion and self-reconfiguration of spherical freeform modular robots. Module connections are modeled as either spherical joints or parallel robots using a unified skeletal kinematics approach. Target configurations are achieved via iterative inverse kinematics and command translation. A library with interfaces for design tools defines behaviors and feasible kinematic transitions. Executable behaviors are efficiently retrieved using a configuration matching and mapping algorithm. The system is validated on the FreeSN platform with up to 18 modules and 48 joint motors, laying the groundwork for advanced planning and control in freeform modular robotics.

为什么有时小训练集效果反而好？聊一下训练集图片~

合适的特征分辨率。 平衡的不同特征数量分配。 足够的单轮内特征重复次数。 完善的打标。