The hottest Robotics Substack posts right now

And their main takeaways
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Top Technology Topics

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Robots & Startups • 0 implied HN points • 25 May 21
🕹 Technology Robotics
  1. ARM is seeking papers and speakers for their Dev Summit in October 19-21. Great opportunity!
  2. WeRobot Conference is looking for submissions related to real-world robot deployments and new form factor robots. Submit before June 1st!
  3. Consider subscribing to Robots & Startups for more posts and a 7-day free trial of their full post archives.

Robotics Fundings and Ethical Issues

Robots & Startups • 0 implied HN points • 20 May 21
🕹 Technology Robotics
  1. The post discusses robotics fundings and ethical issues, indicating a growing concern for the ethical implications and consequences of funding decisions in the robotics industry.
  2. There are upcoming robotics and AI conferences highlighted in the post, showcasing the continuous development and interest in these technological fields.
  3. Readers are encouraged to subscribe to Robots & Startups for more insights and access to full post archives, with a 7-day free trial option available.

Interesting things in robotics this week - Issue #9

Robots & Startups • 0 implied HN points • 19 May 21
🕹 Technology Robotics
  1. VLAB Indoor Ag Tech Panel on May 27 is upcoming - check it out for insights on indoor agriculture technology.
  2. Sensors Innovation Week: Summer Edition on June 22-24 offers keynotes, panels, and tech talks for engineers and tech influencers.
  3. Subscribe to Robots & Startups to access the full post archives and get a 7-day free trial.

Robotics research humor, sensors map, recent fundings

Robots & Startups • 0 implied HN points • 07 May 21
🕹 Technology Robotics
  1. TuSimple, an autonomous truck startup, raised $1.08 Billion and has 5,700 reservations for self-driving trucks scheduled for production in 2024.
  2. Vicarious Surgical and Sarcos Robotics are going public via SPACs, showing a growing trend in funding for robotics companies.
  3. The post discusses robotics research humor, sensors map, and recent fundings, providing insights into the robotics industry's current landscape.
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Office Hours for E-Robot Prize

Robots & Startups • 0 implied HN points • 20 Apr 21
🕹 Technology Robotics
  1. Companies like Fetch Robotics and SRI International are hiring, providing opportunities in the robotics industry.
  2. Monthly online job fairs are a way to connect with member robotics companies for potential job opportunities.
  3. Reading posts in Robots & Startups requires a subscription, but a 7-day free trial is available to access full post archives.

Interesting things about robotics - Issue #1

Robots & Startups • 0 implied HN points • 15 Mar 21
🔬 Science Robotics
  1. The electric vehicle industry faces challenges in improving battery technology and reducing costs. A new fabrication technique could enable safer lithium-ion batteries for cars.
  2. Solid-state automotive lithium-ion batteries could adopt nonflammable ceramic electrolytes utilizing existing production processes with the same efficiency as traditional liquid electrolytes.
  3. To access the full post archives and continue reading about robotics, subscribe to Robots & Startups for a 7-day free trial.

Newsletter #9: Building a Brain with LLM

Decoding Coding • 0 implied HN points • 20 Apr 23
🕹 Technology Robotics
  1. Robots can use language models to understand and navigate their environments better. This setup includes a visual model that acts like an 'eye' to see the world.
  2. The robot has a 'nerve' system that asks questions and plans actions based on what it sees. It makes sense of information and decides what the robot should do next.
  3. Eventually, as language models improve, robots could act more autonomously and make decisions on their own. This could change how we interact with machines in exciting ways.

All About Physical AI

Sector 6 | The Newsletter of AIM • 0 implied HN points • 08 Jun 24
🕹 Technology Robotics
  1. Physical AI is a newer type of technology that can understand instructions and do complex tasks by itself. It has the potential to change how industries operate.
  2. NVIDIA is a key player in this field, with its simulation tool called Omniverse helping to bring these advanced robotic technologies to life.
  3. The upcoming wave of AI involves integrating robotics deeply into our everyday lives, making it an exciting time for technological advancements.

Humanoid Robots Are Now a Reality

Sector 6 | The Newsletter of AIM • 0 implied HN points • 18 Mar 24
🕹 Technology Robotics
  1. Humanoid robots are becoming more advanced and can perform a variety of tasks. They've evolved quickly, with new models showing improved abilities compared to earlier versions.
  2. Recently, a humanoid robot powered by OpenAI has shown the potential to move at speeds approaching that of humans. This indicates significant advancements in robotics technology.
  3. The development of these robots raises exciting possibilities for their use in everyday life. They could become helpful tools in many areas, from entertainment to assistance in daily tasks.

Self-Driving Cars Pedalled a Lie So Far?

Sector 6 | The Newsletter of AIM • 0 implied HN points • 09 Oct 23
🕹 Technology Robotics
  1. Tesla's self-driving cars are not fully autonomous; they are at Level 2, meaning drivers still have to be ready to take control anytime.
  2. Wayve, a UK company, has achieved Level 5 technology, where cars can drive themselves completely without human intervention.
  3. Wayve's system uses a new approach called GAIA-1 that combines video, text, and actions to create realistic driving scenarios.

🔮 Tesla AI Day & Why it Sucked 🛃 🖲🔭

Sector 6 | The Newsletter of AIM • 0 implied HN points • 29 Aug 21
🕹 Technology Robotics
  1. The Tesla AI Day featured a long event with a mix of entertainment and technology demonstrations. It included a humanoid robot dancing, which felt more like a show than serious tech discussion.
  2. Much of the event focused on music and visuals, taking away from the actual advancements in AI that Tesla is working on.
  3. Many viewers found the event disappointing because they expected more detailed insights into Tesla's AI projects rather than just entertainment.

Any system that acts intelligently should be assumed to be intelligent

The Future of Life • 0 implied HN points • 04 Apr 23
🕹 Technology Robotics
  1. If a system acts intelligently, we should consider it intelligent. It's about how it behaves, not just how it works inside.
  2. Many people don't really understand what intelligence is, which makes it hard to define. Historically, we've only seen humans perform certain tasks, but now AI is doing them too.
  3. AI like ChatGPT has limitations and doesn't have the full abilities of human intelligence yet. While it's impressive, it can't think or learn in the same way humans do.

Timeline of the future of language models like ChatGPT 🤖

The Future of Life • 0 implied HN points • 01 Apr 23
🕹 Technology Robotics
  1. By 2025, language models will be widely used in various jobs, and people will interact with them more through voice than text.
  2. By 2030, most workers will rely heavily on language models for their tasks, and virtual experiences will become common in entertainment and daily life.
  3. By 2040, AI will advance significantly, resembling human brain functions, and many jobs will be automated, with a focus on supervision rather than direct labor.

Can Natural Language Instructions Work for AGI Control?

The Future of Life • 0 implied HN points • 29 Mar 23
🕹 Technology Robotics
  1. As AGI gets closer to reality, we need strong rules to manage it to keep humanity safe. It's really important to set these guidelines before AGI becomes widely used.
  2. ChatGPT and similar models can understand natural language better than old robots. This means they can follow our instructions by understanding the context of what we say.
  3. There’s a risk that AI might not always follow our instructions correctly. However, using natural language can help in getting AIs to behave the way we want them to, showing a promising direction for controlling AI.

[in case you missed it] Data Science Weekly - Issue 469

Data Science Weekly Newsletter • 0 implied HN points • 20 Nov 22
🕹 Technology Robotics
  1. Learning machine learning can be a challenging but rewarding journey, and it often involves continuous effort to improve skills and practices.
  2. Robotics and AI are making a big impact in industries like fulfillment, but there are still many challenges to overcome as the technology scales.
  3. Emerging AI capabilities, particularly in large language models, are becoming increasingly action-driven, resembling more advanced forms of intelligence.

[in case you missed it] Data Science Weekly - Issue 433

Data Science Weekly Newsletter • 0 implied HN points • 13 Mar 22
🕹 Technology Robotics
  1. Deep learning is facing challenges and needs more progress to improve its effectiveness. Experts are looking at what can be done to advance AI technology.
  2. MLOps, or machine learning operations, is currently chaotic but it’s an important area of growth. The ecosystem is rapidly evolving with new tools and practices appearing every week.
  3. There are new techniques and tools emerging to help in areas like data visualization and machine learning. These developments can make it easier for both beginners and experts in the field.

[in case you missed it] Data Science Weekly - Issue 347

Data Science Weekly Newsletter • 0 implied HN points • 19 Jul 20
🕹 Technology Robotics
  1. Netflix is improving its data efficiency by using a dashboard that helps everyone see costs and usage trends. This way, decision-makers can make better choices based on clear information.
  2. Creating a strong portfolio and resume is really important for landing a data science job. Focus on showcasing your best skills and experiences to attract employers.
  3. There's a shift in building robots to assist humans instead of replacing them. The future should focus on robots that enhance our capabilities rather than take over our jobs.

[in case missed it] Data Science Weekly - Issue 334

Data Science Weekly Newsletter • 0 implied HN points • 18 Apr 20
🕹 Technology Robotics
  1. Robotics can have big dreams, like sending a rover to the Moon, but the journey to change the world is tough and full of failures.
  2. Understanding how a virus like SARS-CoV-2 spreads is crucial for preventing future outbreaks, and we might need to keep social distancing for a long time to avoid overwhelming hospitals.
  3. As AI grows, it's important to make sure these systems are explainable and trustworthy so that people can feel safe using them.

[in case you missed it] Data Science Weekly - Issue 317

Data Science Weekly Newsletter • 0 implied HN points • 21 Dec 19
🕹 Technology Robotics
  1. NeurIPS 2019 showcased a lot of innovation in AI, with numerous workshops and papers highlighting current research trends.
  2. AI benchmarks, like games, are not always the best way to measure intelligence because they don't truly represent problem-solving skills.
  3. There are new advancements in AI that improve how machines learn and respond, such as handling complex games and understanding language better.

[in case you missed it] Data Science Weekly - Issue 308

Data Science Weekly Newsletter • 0 implied HN points • 20 Oct 19
🕹 Technology Robotics
  1. Neural networks can solve real-world problems like a robot hand solving a Rubik's Cube. This shows they can learn and adapt in unpredictable situations.
  2. There's a shift happening in machine learning tools, with more researchers choosing PyTorch over TensorFlow. While TensorFlow is still popular in the industry, this could change soon.
  3. Companies can use a smart model to find the best regions for hiring offshore talent. This helps them build stronger remote teams by targeting specific skills.

[in case you missed it] Data Science Weekly - Issue 279

Data Science Weekly Newsletter • 0 implied HN points • 30 Mar 19
🕹 Technology Robotics
  1. Three scientists won the Turing Award for their work on neural networks. This award is a big deal in computing, kind of like a Nobel Prize.
  2. Machine learning is being used to create tools that can help doctors focus more on patients instead of taking notes. This could improve healthcare significantly.
  3. There's a new doodling app that uses AI to turn simple sketches into realistic images. This technology could be useful for video games and movies.

[in case you missed it] Data Science Weekly - Issue 239

Data Science Weekly Newsletter • 0 implied HN points • 23 Jun 18
🕹 Technology Robotics
  1. AI can argue like a human but it doesn't really understand what it's saying. This raises questions about the limits of AI in communication.
  2. Researchers are working hard to make algorithms fair to avoid biases in machine learning. This is important as technology becomes more involved in our lives.
  3. Experts are discussing how AI and robotics can change healthcare, pointing to a future where technology plays a big role in medicine.

HN blogs - 8/10/24

HackerNews blogs newsletter • 0 implied HN points • 08 Oct 24
🕹 Technology Robotics
  1. Engineers have enjoyed a lot of benefits in their work environments lately, but they need to adapt to changing times.
  2. Passwords are still an important part of online security and aren't going away anytime soon.
  3. When using technology, it's essential to find a balance between complexity and effective solutions.

AI Weekly Update - October 25

Handy AI • 0 implied HN points • 25 Oct 24
🕹 Technology Robotics
  1. Claude 3.5 can now perform tasks on your computer by following commands, which means AI can assist us even more in our daily activities.
  2. Microsoft's Copilot now has new features that let it automate tasks in business programs. This can help make work processes faster and more efficient.
  3. OpenAI is working on a new model called Orion, which might be much more powerful than their current ones. This could change how we use AI in the future.

Simultaneous Localization and Mapping

The Halfway Point • 0 implied HN points • 26 Apr 24
🕹 Technology Robotics
  1. Self-driving cars need to know their exact location to avoid accidents. GPS and sensors like RADAR have errors, so it's tricky to get precise positioning.
  2. The Kalman filter helps improve the accuracy of measurements by combining noisy data over time. It has two main steps: updating measurements and predicting motion.
  3. For complex situations, there are advanced versions of the Kalman filter, like the Extended and Unscented Kalman filters, which can handle non-linear data better for more accurate tracking.

Robots vs. Workers: A New Paper on the Results

Big Fiscal • 0 implied HN points • 21 Mar 24
🕹 Technology Robotics
  1. The introduction of robots has a small negative effect on jobs and wages, but it's not as bad as many fear. Overall, the impact seems to be minor.
  2. There's a bias in research that often leans toward negative effects of robots on wages. This shows the need for more balanced studies in this area.
  3. The effects of robots vary based on the economy, industry, and job skills. Developed countries might benefit more from robots compared to emerging ones, especially in some sectors like manufacturing.

start from zero

Poems, Short stories and other things.. • 0 implied HN points • 21 Dec 24
🕹 Technology Robotics
  1. AI tools in software development can speed up work significantly, making tasks that used to take months done in just a few hours. This trend could happen in many fields, leading to a more efficient workforce.
  2. Jobs that involve repetitive or analytical tasks might see big changes due to AI. While some jobs won't disappear, they will likely require fewer people to accomplish the same goals, leading to faster results.
  3. Education will need to adapt quickly to teach skills relevant to the new AI tools. Traditional programming teaching might change as more people use AI to code without needing to know specific languages.

Meta introduces HOT3D: A dataset for advancing hand-object interaction research

The PhilaVerse • 0 implied HN points • 03 Jan 25
🕹 Technology Robotics
  1. Meta has created a new dataset called HOT3D to help with research on how humans interact with objects using their hands. It's designed to improve technology in areas like robotics and virtual reality.
  2. The HOT3D dataset is large, with over 833 minutes of video from different angles, showing various tasks with hands and objects. This helps researchers understand interactions better.
  3. The dataset provides detailed information, like 3D poses and eye tracking, which makes it very useful for developing new computer vision and machine learning applications.

25 Predictions for 2025

Digital Native • 0 implied HN points • 08 Jan 25
🕹 Technology Robotics
  1. Taylor Swift is expected to write an open letter about artist rights and AI, which could change how artists and tech companies interact. This might help establish clearer boundaries on using an artist's work and likeness in AI.
  2. TikTok is likely to survive despite previous discussions of a ban, possibly due to intervention from high-profile individuals or legal decisions. This will be significant for many creators who rely on the platform for income.
  3. Digital clones of real people might become more popular, allowing fans to interact with AI versions of their favorite celebrities. However, there may be pushback against completely AI-generated creators, as they can feel unsettling and less authentic.

20250209

Curious futures (KGhosh) • 0 implied HN points • 09 Feb 25
🕹 Technology Robotics
  1. New church designs in Denmark focus on community and inclusion, not just traditional worship. This shows a shift towards creating spaces that welcome everyone.
  2. AI and robots are becoming part of everyday life, but they can sometimes misunderstand human emotions and boundaries. It's important for technology to enhance real human connections.
  3. Work trends are changing, with some people moving back to the office despite the convenience of working from home. This raises questions about how we balance work and life in a tech-driven world.

Superhuman Web Agents, 3D Scene Diffusion, and Math-Formalizing RL

ppdispatch • 0 implied HN points • 11 Jul 25
🕹 Technology Robotics
  1. WebSailor is a new tool that helps web agents perform better by teaching them to handle tricky information tasks. It's open-source and matches the abilities of some proprietary systems.
  2. Agent KB allows different language agents to share knowledge and learn from each other, which helps them solve complicated problems more effectively.
  3. LangScene-X is a method for creating 3D scenes from simple 2D images, making it easier for agents to understand complex visuals without needing a lot of extra data.

Grading Our 2025 Predictions 💯

Digital Native • 0 implied HN points • 03 Dec 25
🕹 Technology Robotics
  1. AI was the defining theme of 2025: companies leaned into augmentation over full automation, while IP and a growing backlash against fully AI-generated creators became major conversations.
  2. Big market moves reshaped tech — TikTok survived, a record VC-backed acquisition was set, prediction markets and space/defense heated up, and robotics began to help re-shore manufacturing.
  3. Applied AI showed tangible wins in healthcare and mental health, but consumer AI hardware and mainstream digital clones remain early and haven’t broken through yet.

20251130

Curious futures (KGhosh) • 0 implied HN points • 30 Nov 25
🕹 Technology Robotics
  1. Technology and AI are reshaping work and everyday life quickly, from AI tools that help developers and job seekers to new hardware like robotaxis and advanced chips.
  2. Security risks are rising across cyber and physical spaces, with drones, undersea vehicles, hacking, and foreign influence operations creating fresh vulnerabilities.
  3. These innovations carry human costs and trade-offs — growing antibiotic resistance, erosion of authentic human voice, job disruption, and nostalgia that can distract from real risks.

2026

domsteil • 0 implied HN points • 31 Dec 25
🕹 Technology Robotics
  1. Advanced AI coding agents are effectively here and are radically speeding up software work. These agents run in sandboxed CLI environments with full machine access, shifting the abstraction from simple API calls to agentic orchestration.
  2. AI-first commerce (iCommerce) can autonomously run online businesses by using agents to handle customer experience, operations, and order orchestration, replacing many manual tasks.
  3. The focus for 2026 is to scale the company into a generational software leader by continuing model finetuning, building agent tooling and mobile apps, while maintaining personal health and disciplined daily practices.

26 Predictions for 2026 (Part II)

Digital Native • 0 implied HN points • 22 Dec 25
🕹 Technology Robotics
  1. AI is gaining persistent memory and true "world" understanding through agents and world models. That will unlock lots of new consumer and enterprise products, from lasting personal assistants to smarter household robots.
  2. Interfaces and go-to-market will decide the winners: assistant brands will dominate while UI becomes the main differentiator. Buyers will shift to finance teams focused on P&L, and traditional CRMs will be displaced by AI that ingests unstructured data.
  3. Policy and markets will accelerate AI with big M&A and new prediction-market ecosystems. Those gains will likely concentrate wealth and raise inequality, and some speculative AI rollups will fail even as non-AI, anti-tech products find real demand.

🤖 Agent Swarms, Trillion-Param Multimodal Models, and Real-World Robot Vision

HackerPulse Dispatch • 0 implied HN points • 10 Feb 26
🕹 Technology Robotics
  1. Omnidirectional mmWave radar gives drones 360° sensing that can detect thin power lines at about 10 meters, enabling safer high-speed flight and more reliable collision avoidance.
  2. New multimodal architectures—like agent-swarm decomposition and trillion-parameter MoE models with elastic sub-models—boost capability while cutting latency and letting models be deployed at different performance/latency tradeoffs.
  3. Staged training and better benchmarks improve real-world robot generalization and evaluation: a single policy can control diverse robot types, and VDR-Bench removes textual shortcut cues to make multimodal search testing more reliable.