#open-source robotics
110 related articles
·2 min
Text-Only Models Controlling a Linux Desktop: Inside PawFlow's Dual-Model Architecture
PawFlow decouples vision and reasoning into two models, letting a text-only LLM reliably control a Linux desktop. A deep dive into its dual-model architecture, pre-click guard, and caching strategy.
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·2 min
DecisionRL: An Open-Source Reinforcement Learning Library Built for Operational Decision-Making
DecisionRL is an open-source RL library for operational decision-making, with six built-in scenarios (inventory, pricing, energy), OR baselines, and support for DQN, PPO, SAC, and more.
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·6 min
Multimodal and Embodied Intelligence: A Comprehensive Look at Progress, Pitfalls, and Opportunities
At the Microsoft Research India summit, top experts explore the real progress of multimodal AI and embodied intelligence: fusing classical robotics with large models, healthcare AI deployment challenges, perceptual bottlenecks in reasoning, and possibilities beyond scaling.
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Building RL-Powered Autonomous Researc…
·2 min
Building RL-Powered Autonomous Research Agents with NVIDIA NeMo
How NVIDIA NeMo combines reinforcement learning to train agent skills and build an Autoresearch workflow capable of autonomously running ML experiments end-to-end.
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·3 min
A $120 Robot Arm Learns to Actively Search: How Squint Breaks the Field-of-View Barrier
Squint open-source research enables a $120 SO-101 arm to search beyond its camera FOV using 16×16 pixel input, achieving 100% success in 24 min on an RTX 4060.
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AI Agents Accelerate Lightweight USD R…
·3 min
AI Agents Accelerate Lightweight USD Runtime Development: A New Paradigm for Physical AI Infrastructure
How AI agents accelerate lightweight OpenUSD runtime development for physical AI — covering spec understanding, code generation, and iterative optimization for robotics and digital twins.
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·3 min
AI Daily: Alibaba Open-Sources Dance Model, World Model Launches, First AI-Native Phone Debuts
Alibaba open-sources 14B dance model Wan-Dancer, AutoNavi launches World Studio, Stepfun debuts AI-native phone STEPS NEO; GPT-5.6 file deletion and AI companion shutdowns spark safety and regulation debates.
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·3 min
DIY Two-Wheel Self-Balancing Robot from PVC Pipe: A Complete ESP32 + LoRa Build Guide
A self-taught maker built a two-wheel self-balancing rover from PVC pipe using ESP32 and LoRa, with a custom handheld controller. Full breakdown of hardware, PID control, and firmware.
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Training an RL Agent That Can Do RL: A…
·2 min
Training an RL Agent That Can Do RL: A Deep Dive into Meta-Reinforcement Learning Self-Improvement
An independent developer ran a meta-RL experiment at near-zero cost — training an agent to autonomously perform RL training. Explore the technical depth, cost model, and industry implications.
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·3 min
UAV Disaster Zone Rescue Priority Assessment: A Deep Feasibility Analysis for Final Year Projects
A deep feasibility analysis of a UAV disaster-zone rescue priority assessment project, covering SARD/HERIDAL/VisDrone datasets, pose detection, YOLO models, and ethical boundaries — a practical reference for CV final-year projects.
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decisionrl: An Open-Source Reinforceme…
·2 min
decisionrl: An Open-Source Reinforcement Learning Library Built for Operational Decision-Making
decisionrl is an open-source RL library for operational decisions, with built-in environments for inventory, pricing, supply chain, and OR baselines for comparison. Built on PyTorch, MIT licensed.
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·2 min
Reinforce: A Developer's Open-Source Python Library for Reinforcement Learning — Lightweight and Readable
Developer Denis Drobyshev releases Reinforce, his first open-source RL Python library on GitHub. Learn about its value for beginners, common challenges in new open-source projects, and how to contribute.
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Procedural Synthetic Data Generation w…
·2 min
Procedural Synthetic Data Generation with Blender: A New Approach to CV Model Testing and Annotation
A developer repurposed a Blender Python procedural 3D scene generator into a CV & SLAM synthetic data tool, delivering mathematically precise bounding boxes and coverage of hard edge cases like extreme glare, low light, and heavy occlusion.
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·3 min
31 Companies Sign Agent Privacy Pact: Industry Self-Regulation Framework Goes into Effect
31 companies sign China's first AI agent privacy pact covering screen-reading authorization, training data restrictions, and payment caps. Plus: domestic LLM tops OpenRouter, Meta's $40B compute bet, and agent commercialization challenges.
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·2 min
How to Get Vizuara Robot Learning Course Notes & Free Resource Guide
Want free Vizuara 'Modern Robot Learning from Scratch' course notes? This guide covers official channels, GitHub resources, and recommends free courses like UC Berkeley CS285.
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·3 min
AI Agent Beginner's Guide: LLMs vs. Agents, and a Full Breakdown of Development Tools
What is an AI Agent? This guide explains the key differences between LLMs and Agents, breaks down the Agent formula (LLM + Workflow + Knowledge Base), and compares tools like Dify, Coze, LangChain, and LlamaIndex.
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·3 min
NASA Open-Sources the F´ Framework: A Space-Grade Toolkit for Flight Software and Embedded Systems Development
NASA's JPL open-sourced the F´ (F Prime) flight software framework: C++-based, component-driven, and validated in real space missions. Ideal for CubeSats, drones, and embedded systems, it has over 11,000 GitHub Stars.
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The Circular Financing Trap in Nvidia'…
·4 min
The Circular Financing Trap in Nvidia's Ecosystem: The Capital Undercurrents Behind the GPU Boom
An in-depth look at the circular financing model among Nvidia, CoreWeave, and Nebius—where suppliers double as investors, capital self-reinforces, and valuation bubbles and systemic risk lurk behind the AI infrastructure boom.
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·4 min
DIY Robot Lamp Full-Body Motion Test: A Firsthand Account from Components to Coordinated Movement
A maker builds a DIY robot lamp with Robstride actuators, completing its first full-body joint motion test. This article breaks down hardware selection, trajectory planning, PID tuning, and more.
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·3 min
WorldBench Open-Sourced: A Standardized Evaluation Toolkit for Robot World Models
WorldBench is an open-source Python toolkit for evaluating robot world models, covering prediction fidelity, long-horizon consistency, physical plausibility, and more—enabling standardized comparisons across teams and papers.
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