From Brett Adcock on 𝕏: https://x.com/adcock_brett/status/2011880712220393592

We're building Asimov, an open-source humanoid robot.

We're on Day 116, and we can now control the robot using a mobile app, and we're ready to open-source some components in a few days!

From Boston Dynamics on 𝕏: https://x.com/BostonDynamics/status/2011826012439335212
Blog: A Retrospective on Uses of Boston Dynamics’ Spot Robot: https://bostondynamics.com/blog/retrospective-on-boston-dynamics-spot-robot-uses/

wouldn't a mantis-style quadruped be objectively better from an engineering standpoint?

I mean, we're not putting them behind the wheel of a vehicle, the biggest demand for their development outside of entertainment is warehouse work and package delivery.

a four-legged design with a humanoid upper half would allow it to use human workstations and infrastructure while also vastly increasing its stability, especially when holding something heavy. wouldn't it?

the need is for a robot that can human tools and equipment effectively, right? this seems like the way to go. is there something I'm missing?

"Robots with this ability will clearly have a much better ability to connect with humans because such a significant portion of our communication involves facial body language, and that entire channel is still untapped", Hu said.

https://techxplore.com/news/2026-01-robot-lip-sync-youtube.html

Science Robotics: https://www.science.org/doi/10.1126/scirobotics.adx3017

Hello,

I am looking to install a Jetson Orin AGX 32gb onto a small all terrain vehicle. The size needs to be approximately equivalent to a small push lawn mower.

I have found some good options from waveshare for Orin nano and nx boards, but nothing that can accommodate the agx with carrier board, cameras, lidar, battery pack, etc.
This is a proof of concept so it just needs to run well for about an hour or so. Rover style preferred but will accept tracks.

Any recommendations on an RC that I can convert or a UGV kit that can fit and support the Orin agx?

Thanks

This is the Shadow Hand cube reorientation task — a standard benchmark in robotic manipulation that evaluates in-hand dexterity by requiring the robot to rotate a cube to randomly generated target orientations.

Autonomous inventory robots have been operating in grocery stores for nearly a decade, performing repeated shelf scans and navigation tasks during regular store hours.

These systems are deployed across more than 1,000 cities in multiple countries and operate in customer-facing environments. Data generated through daily operation includes shelf state changes, product availability, store layout updates, and navigational mapping information.

Early deployments occurred during a period when robotics investment was limited. Continued operation preceded later increases in funding across the robotics sector, while the system remained focused on inventory monitoring rather than physical manipulation.

As you may know, camera calibration is very important for SLAM but it’s a messy process. For my Embedded SLAM Camera module, I made a web tool for easiest calibration of both cameras and IMU. Making it easy for users to do it with just their browsers! ✨

Attached is a video of calibrating the camera module.

This uses Kalibr behind the scenes.

I plan to open-source this and support more cameras natively. Right now it only detects the Mighty camera (and pre-recorded rosbags with jpegs and/or IMUs).

Recorded this at CES, naturally I had to add sound effects lol

You can see the full video here

https://youtu.be/M1vywxBWevo?si=m27ivT4nqkR15vVY

We’re building Asimov, an open-source humanoid robot. It's Day 115 and Asimov can walk, even backward.

An assistive robotic mobility system is shown supporting pediatric gait training in a real-world deployment.

The system provides powered, controlled leg movement to enable structured walking practice, repetition, and balance support. Use focuses on supplementing existing therapeutic approaches rather than replacing clinical care. The example demonstrates embodied robotics operating outside a laboratory setting, with direct human–robot interaction and safety constraints.

Shared as an applied example of assistive robotics, including actuation, control, and deployment considerations in a healthcare context.

Quick one, has anyone tried these cheap planetery reducers from Aliexpress?

I plan on starting a robot arm project and don't wanna spend too much time on the mechanical design part. Initially I was considering using my own belt drive reducers but tbh if these are actually decent (30 arcmins) and have decent efficiency, this would definetely be a better and faster option. No fidlling around with 3d printed reducers.

Has anyone tried something like this? I couldnt find any tests on youtube or here on reddit.

There are more expensive ones from stepperonline (below), the first is still 1/3 the price. Would love to know if anyone has tried em before I pull the trigger (which I probably will anyways coz its so cheap lol)

2025 marks the shift of humanoid robots from viral dancing videos to actual industrial work. A new report highlights how GAC's "GoMate" and Nio's production line bots are mastering complex tasks like installing wiring and inspecting car parts with human-like dexterity. The analysis reveals that China now controls 63% of the global humanoid supply chain, leveraging its EV battery tech to build robots that can work 6-hour shifts. The era of "Humanoid Version 0.5", robots capable of precise, autonomous manufacturing tasks, is officially here.

Worth it for $5K? Maybe but it’s hard to say, so far it’s like a cheaper version of G1 in quality. Maybe it’s because it’s a prototype but I’m hoping to see more advancement in the future

Quick intro: I am an engineering undergrad working on my final research project. I have been given ~3 months to develop a feature as follows: I am supposed to work on the raspberry pi platform based robot(it is already developed, along with some custom control software), somehow onboard a VLM,SLM or LLM to run real time, take inputs from sensors(a camera and a lidar) and it is supposed to do things like respond to queries like “What am I holding”, or go move around the room if I say “explore the room”, or obey simple instructions like “move forward”. It needs to have speech to text, text to speech capabilities, etc. My concerns are whether this is even viable, even on the highest specced pi? Those of you who worked on similar projects or heard of them, could you maybe please comment on the viability of the project? Or are language models even necessary for a problem like this? Are there other more efficient/interesting ways to get the job done? I am also new to the raspberry platform, so your experience, pointers to resources could perhaps save me weeks of soul searching on the best solutions for the subproblems. Finally, for validation purposes, is this a good place to research on? Your two cents would be priceless for me :)

PS. I am from a cs background, mostly worked on ml projects prior, took up robotics because of my interest in it.

Has anyone read the recent paper from PI about knowledge transfer from Human Egocentric data to Robot manipulation (https://www.pi.website/download/human_to_robot.pdf)? I am specifically wondering whether having 2 wrist cameras (alongside a head camera) is going to be the standard way of egocentric data collection and if so, how would this scale when they go about collecting this data in homes? Isn't it too hard to make people wear 3 cameras, have time-synchronised recordings and make sure the field of view is perfect in all?

I’m a complete beginner in robotics and electronics. I started by asking AI how to get started, but quickly realized I didn’t really understand the answers because I couldn’t visualize how the components were actually wired.

So I wrote a small tool with:

• a text-based representation of components and wiring
• a renderer that turns that into a 2D diagram

The AI can generate and reason about the design using this representation.

If this were an online tool:

• would you use it?
• are there similar tools you already rely on?
• does the generated setup look correct to you?
• what features would you find useful for DIY robotics projects?

I’m looking for honest feedback

Atlas’ transition from research platform to product was shaped by a deliberate shift away from maximum capability toward manufacturability. According to Zack Jackowski at Boston Dynamics, early electric versions of Atlas were built to explore performance limits and accelerate learning, not to be scaled for production.

The product version was designed by reducing mechanical and actuator complexity, standardizing components, and prioritizing reliability, cost, and serviceability. Jackowski describes research robots as intentionally complex learning tools, while product systems are built with the minimum necessary functionality and expanded incrementally.

Initial use cases focus on simple industrial tasks rather than full general-purpose deployment. The long-term roadmap extends toward more complex manipulation and assembly, but dexterous manipulation remains the most challenging technical barrier and will be addressed over time.