The following is a summary of the paper: “Flow Navigation by Smart Microswimmers via Reinforcement Learning”. Please feel free to point out any errors or omissions. If there are any inappropriate uses of technical terms, I would appreciate your feedback.
Introduction by Long: This paper presents a simple yet effective reinforcement learning framework, VL-DAC, which addresses the training difficulties of vision-language models in interactive tasks. Surprisingly, it achieves significant skill transfer with training conducted solely in inexpensive synthetic environments, providing a new approach for the practical training of AI agents. Imagine you are playing a … Read more
Transition AI Jim Fan: Recently, I have been somewhat silent on X. This year has been a transformative journey for me. Although emerging large language models like Grok-4 and Kimi K2 are impressive, the field of robotics still resembles a wondrous western wilderness. It reminds me of the NLP field in 2018, when GPT-1 was … Read more
Selected fromarXiv Translated by Machine Heart Contributors:Lu, Siyuan Recently, researchers from DeepMind and the CoMPLEX group at University College London proposed a Relational Recurrent Neural Network that utilizes a novel memory module, RMC, to address the challenges of relational reasoning tasks that standard memory architectures struggle to perform. This method has made significant advancements in … Read more
✅ Author Profile: A Matlab simulation developer passionate about research, skilled in data processing, modeling simulation, program design, obtaining complete code, reproducing papers, and scientific simulation. 🍎 Previous reviews, follow the personal homepage:Matlab Research Studio 🍊 Personal motto: Investigate things to gain knowledge, complete Matlab code and simulation consultation content via private message. 🔥 Content … Read more
This article starts from the planning module in the Copilot 3.0 architecture, combining the reinforcement learning (GRPO) training practices of DeepSeek R1, to explore how large models can flexibly orchestrate multiple agents under a multi-agent architecture to better solve practical problems. GRPO Training Table Background 1. Business Scenario Merchants operate Copilot as a professional business … Read more
✅ Author Bio: A research enthusiast and Matlab simulation developer, skilled in data processing, modeling simulation, program design, complete code acquisition, paper reproduction, and scientific simulation. 🍎 Previous reviews can be found on my personal homepage:Matlab Research Studio 🍊 Personal motto: Seek knowledge through investigation; complete Matlab code and simulation consultation available via private message. … Read more
Why have tactile sensors not become widespread in the field of robotics, and why is this situation about to change? Amazon’s Vulcan is its first robot to utilize tactile sensing technology for fine manipulation. In tightly constrained grasping and placing scenarios, tactile sensing should be a disruptive key. While humans primarily rely on vision, we … Read more
Document Number:No.367(AS-035) Source: Mohammed Jamal Almansor, Norashidah Md Din, Mohd Zafri Baharuddin, Ahmed Jasim Al-asadi, Huda Mohammed Alsayednoor, Zeyad Ghaleb Al-Mekhlafi, Badiea Abdulkarem Mohammed, Majid Khalaf Alshammari. A conceptual framework for smart ports: Novel UAV-based pilotage protocol using flying aerial ad-hoc networks. Alexandria Engineering Journal, Volume 123, 2025. https://doi.org/10.1016/j.aej.2025.01.068. Institution: National Power University of Malaysia, … Read more
Effective solutions to the contradiction between the scarcity of real machine data and the generalization of scenarios. Written by｜Huang NanEdited by｜Yuan SilaiSource｜HardK (ID：south_36kr）Cover Source｜IC photo HardK has learned that Beijing BeingBeyond Technology Co., Ltd. (hereinafter referred to as “BeingBeyond”) has recently completed financing of tens of millions of yuan, led by Lenovo Star, with follow-up … Read more