Best of Robotics2024

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    Video
    Avatar of fireshipFireship·2y

    Robots are rising up faster than expected… Figure 01 to enter labor force

    Robots like Figure 01 are solving the problem of human-like dexterity and have the potential to replace jobs in various fields. The company behind Figure has a goal of implementing humanoid robots into the workforce.

  2. 2
    Article
    Avatar of venturebeatVenture Beat·2y

    Build your own AI-powered robot: Hugging Face’s LeRobot tutorial is a game-changer

    Hugging Face has released a detailed tutorial to help developers build AI-powered robots using their LeRobot platform. Central to the tutorial is the Koch v1.1 robotic arm designed for easy assembly and cost efficiency. The guide also emphasizes data sharing and collaboration to advance AI-driven robotics. This initiative aims to democratize robotics technology, making it accessible to a broader audience and potentially reshaping various industries.

  3. 3
    Article
    Avatar of nvidiaNVIDIA·2y

    Meet the Maker: High School Student Develops Robot Guide Dogs With NVIDIA Jetson

    Selin Alara Ornek, a high school senior from Istanbul, has developed a robot guide dog named IC4U using NVIDIA Jetson for the visually impaired. Inspired by a real guide dog and her late pet, Ornek's robot aids with obstacle detection, recognizing city objects, and even shopping. She aims to improve smart city applications and will begin studying computer science at the University of British Columbia. Ornek’s work highlights NVIDIA's commitment to fostering young talent in AI and robotics.

  4. 4
    Video
    Avatar of fireshipFireship·2y

    Neuralink full send... Elon's brain chips actually work on humans

    Elon Musk's Neuralink chip has been successfully implanted into a paralyzed individual, allowing them to control a computer mouse with their thoughts. The chip uses high density electrodes to detect brain waves and translate them into actions. This technology has the potential to greatly improve the quality of life for individuals with disabilities.

  5. 5
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    How to Build a Rocket Control System: Basic Control Theory with Python

    Learn the fundamentals of building a rocket control system using basic control theory and Python. The guide explores crucial concepts such as PID controllers, transfer functions, and stability analysis using root locus, Bode plots, and Nyquist plots. A step-by-step code example demonstrates the implementation of a PID controller to maintain stability and control of the rocket's trajectory.

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    Video
    Avatar of communityCommunity Picks·2y

    I Trapped this AI Worm in a Dark Room for 1000 Simulated Years

    An AI training lab explores training a worm controlled by a neural network. Starting with minimal training, akin to a newborn, the AI progresses by increasing the complexity of its neural network, gradually teaching the worm self-awareness, locomotion, and task completion through reinforcement learning. The process involves tweaking network sizes, joint dampening, and reaction times. The ultimate goal is to see the worm achieve realistic movement with a significantly large neural network. The post also mentions Skillshare as a resource for learning about AI art generation.

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    Video
    Avatar of techlinkedTechLinked·2y

    This Is Gonna Be Good.

    Nvidia is anticipated to unveil its RTX 5090, 5080, and 5070 at CES in January 2025, boasting significant power and memory improvements. Intel has launched its Aero Lake series, which promises better energy efficiency compared to its predecessors. Tesla introduced its Cyber Cab and Optimus robots at their recent event, showcasing advancements in self-driving and robotics technology. The post also covers CookUnity meal service, a data breach at the Internet Archive, and Instagram's moderation issues.

  8. 8
    Article
    Avatar of thevergeThe Verge·2y

    The ‘godmother of AI’ has a new startup already worth $1 billion

    Fei-Fei Li, known as the 'godmother of AI,' has founded a startup named World Labs, already valued at over $1 billion. World Labs aims to develop AI capable of advanced reasoning by processing visual data in a human-like manner. The startup focuses on creating models that understand three-dimensional worlds, which could have applications in robotics, augmented reality, virtual reality, and computer vision. Backed by major investors, World Labs intends to push the boundaries of AI in various industries including healthcare and manufacturing.

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    Video
    Avatar of primeagenThePrimeTime·2y

    The Rabbit Is A Scam

    The post highlights that the core selling point of the Rabbit product, the Lamb AI, is built on a lie. The AI model is actually a hardcoded script using Playright, not an intelligent AI system capable of controlling websites. The post also raises concerns about data privacy and the unethical practices of the company.

  10. 10
    Article
    Avatar of hnHacker News·2y

    makeecat/Peng: A minimal quadrotor pipeline in Rust (Mac, Linux, Windows)

    Peng is a minimal quadrotor simulation pipeline written in Rust. It includes a simulator, controller, and planner for simulating quadrotor dynamics, control, and various flight patterns. The pipeline supports realistic dynamics, IMU sensor simulation, multiple planners, and obstacle avoidance. It integrates with the rerun library for real-time visualization and is open source under MIT and Apache licenses.

  11. 11
    Article
    Avatar of mlnewsMachine Learning News·2y

    Google DeepMind Researchers Introduce Diffusion Augmented Agents: A Machine Learning Framework for Efficient Exploration and Transfer Learning

    Researchers from Imperial College London and Google DeepMind have introduced the Diffusion Augmented Agents (DAAG) framework, which integrates large language models, vision language models, and diffusion models to enhance sample efficiency and transfer learning in reinforcement learning (RL). This autonomous framework significantly reduces the need for human supervision by orchestrating agents' behavior using these advanced models. DAAG has shown substantial improvements in task success rates and training efficiency across various environments, suggesting a new direction in the development of more practical and adaptable AI systems.

  12. 12
    Article
    Avatar of mlnewsMachine Learning News·2y

    Hyperion: A Novel, Modular, Distributed, High-Performance Optimization Framework Targeting both Discrete and Continuous-Time SLAM Applications

    Hyperion is a novel optimization framework developed by researchers from ETH Zürich, Imperial College London, and the University of Cyprus. It utilizes Continuous-Time SLAM (CTSLAM) and Gaussian Belief Propagation (GBP) to handle asynchronous sensor data more efficiently. This decentralized and modular framework offers significant speed and scalability improvements over traditional SLAM methods, achieving speedups ranging from 2.43x to 110.31x. Hyperion's decentralized approach aids in effective resource allocation and faster convergence to accurate solutions in real-world robotics applications.

  13. 13
    Article
    Avatar of collectionsCollections·2y

    Nvidia Introduces GR00T: A Revolutionary AI Platform for Humanoid Robots

    Nvidia unveils Project GR00T, a groundbreaking initiative aimed at revolutionizing human-robot interaction with a foundation model for humanoid robots. Collaboration with industry giants and commitment to open-source technology highlight the importance of working together for the advancement of robotics and AI.

  14. 14
    Article
    Avatar of hnHacker News·2y

    The Simple Algorithm That Ants Use to Build Bridges

    Army ants build bridges with their bodies by following simple rules without a leader. When encountering a gap, ants freeze if they feel others walking on them, creating a bridge for the colony. The decision-making balances cost and benefit, considering the ants tied up in bridge-building versus other tasks. Researchers are studying this behavior to apply it to swarm robotics.

  15. 15
    Article
    Avatar of deepgramDeepgram·2y

    High-Level Explanations: Agentic AI Deep-Dive

    Agentic AI is an advanced type of AI system designed to act autonomously, capable of performing tasks, making decisions, and learning from feedback without human intervention. This technology is utilized in various fields, including space exploration, finance, autonomous vehicles, and healthcare. While providing significant benefits in terms of efficiency and reliability, agentic AI also presents ethical challenges that require careful consideration and collaborative regulation.

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    Video
    Avatar of youtubeYouTube·2y

    Time of Flight Sensor

    Time of Flight (ToF) sensors measure distances up to 2 meters with millimeter accuracy by emitting an invisible laser pulse and timing its reflection. Unlike ultrasonic sensors, ToF sensors are unaffected by surface material properties. These sensors are easy to wire with just four connections to a microcontroller and offer additional advanced features via GPIO and X shut pins. Despite a higher cost of $3 to $4, they provide superior precision.

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    Article
    Avatar of itsfossIt's Foss·2y

    My Raspberry Pi Turned into a Robo-Dog and I am Loving it

    Learn about the SunFounder PiDog Robot Dog Kit, its features, and the author's experience building it with a Raspberry Pi. Discover the kit's capabilities, challenges during assembly, and the potential for teaching new tricks.

  18. 18
    Article
    Avatar of planetpythonPlanet Python·2y

    PyCoder’s Weekly

    Explore the use of Python in astrophysics with pandas and Matplotlib, delve into Python packaging history and best practices with setup.py, pyproject.toml, and wheels, and learn how to build a custom query language. Additional resources include courses on data science workflows, building a blog with Django, GraphQL, and Vue, and learning about robotics and Python through electronic projects.

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    Video
    Avatar of twoninutepapersTwo Minute Papers·1y

    NVIDIA’s New AI: Training 10,000x Faster!

    NVIDIA's new AI work speeds up robotic training by 10,000 times using techniques like SkillGen to generate synthetic demonstrations from human ones, and running simulation environments quicker than real-time. Additionally, the Hover system unifies different control modes, enabling efficient training of humanoid robots using far fewer parameters compared to traditional AI models.

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    Article
    Avatar of medium_jsMedium·2y

    Meet the NiceGUI: Your Soon-to-be Favorite Python UI Library

    NiceGUI is a Python-based UI library that makes it easy to build custom web apps and dashboards. It offers easy state management, many features, and integration with data visualization libraries. However, it has a smaller community size and a slightly longer learning curve compared to more popular frameworks like Streamlit.

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    Article
    Avatar of codropsCodrops·2y

    The Collective #811

    This post features a website with a smooth and stylish layout, an article about forward and inverse kinematics in robotics and animation, and a discussion on web browser preferences.

  22. 22
    Article
    Avatar of hnHacker News·2y

    Requests for Startups

    Requests for Startups: Y Combinator discusses various ideas and categories for startups to work on, including robotics, ML-based simulations, defense tech, US manufacturing, space companies, climate tech, open source, AR/VR, software for businesses, AI interpretability, manual process automation, and healthcare inefficiencies.