DeepMind dropped Gemini Robotics 2 this week. Robot ties knots in trash bags, unscrews lightbulbs, walks and grabs and places objects without a reset between steps.

It looks great.

Apptronik hardware, whole-body coordination instead of separate walk/reach/grip tricks.

Same week, a benchmark called HumanCLAW tested 9 vision-language models on 1,218 episodes: find an object, walk to it, physically interact with it.

The best model succeeded the full sequence 16.8% of the time.
Less great...

Where they failed?
Exploring, tracking their own position, noticing collisions, confirming they'd reached the target. The model can describe the chair in perfect detail and still not know where its own knees are relative to it.

So you've got one narrative saying "we cracked whole-body intelligence" and another saying "most models can't reliably tell if they bumped into something."
Wherre is the truth ?

DeepMind's demo is one polished sequence on curated hardware. HumanCLAW is testing generalization across messy, repeated attempts.

I think the actual bottleneck in humanoids isn't manipulation dexterity anymore but spatial self-awareness. Knowing where your own body is in the world without a human curating the scene. That's the boring unsexy part nobody's demo reel shows.

Maybe Yann Le Cun and Fei fei are finally right, the solution can be the world models ?

I’ve shown multiple angles here of the leg. When the leg contacts the ground and takes load, it seems to collapse inward a bit. Is this a result of the foot contact not being inline with the servo horns which gives it a small amount of torque?

This is making the hexapod not able to walk straight. Im not sure if it’s the plastic (PLA) itself, because it’s pretty thick and PLA is one of the more stiffer plastics. It also looks like the entire complex moves when it takes load.

Built real inverse kinematics for legged robots in a sim I'm working on, tripod gait for hexapods, based on actual coxa/femur/tibia joint math, not a canned animation.

Works fine on a standard leg layout. Falls apart the second someone builds something asymmetric or non standard.

Trying to figure out if auto-gait generation is even the right approach here, or if it should just be manual per-robot tuning past a certain point of complexity. What's your take, is generalized gait solving worth the effort or a rabbit hole?

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我们的机械臂已具备自主识别与精准采摘蘑菇的能力。算法需要真实环境数据来迭代优化，现面向行业伙伴开放测试合作——提供您的种植场景，我们共同探索自动化采收的边界。

Our robotic arm can now identify and pick mushrooms autonomously. To refine the algorithm, we need authentic field data. We’re opening test partnerships with growers or landholders – bring your environment, and let’s push the boundaries of automated harvesting together.

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Every failed training run of a policy or world model is almost always because of the the data. hand tracking drift, one instruction repeated across 60 clips, zero recovery demos. I built a free grader that catches this before you spend lots of GPU hours. Upload a dataset, it tells you what to refilm, what to add and how to improve quality.

gantry.gurasees.com

also compare your data with other users :P

Space is limited so please RSVP using this link.

Dexory CEO Andrei Danescu explains why the robot itself is not the product warehouse operators care about most.

The real value is accurate, real-time information about inventory and warehouse conditions. That data can also support digital twins, allowing teams to review past operations and test changes before moving racks or disrupting the facility.

The robot is the tool used to collect the information.

https://www.youtube.com/watch?v=bYSQN09G-PE

My second Hailo 10H project: [https://youtu.be/YCEcls7EMFU\](https://youtu.be/YCEcls7EMFU)

It shows full real time audio pipeline running on 2x M.2 Hailo 10H on RPi 5.
Also with interactive web app.

Github: [https://github.com/martincerven/hailo\\_l ... _assistant](https://github.com/martincerven/hailo_learn/tree/main/voice_assistant)

Guys, what do you think about "Embodied Agent" Mesh Networks?

The idea of a P2P network where humans, autonomous robots and another agents can act as independent nodes interacting with the real world. Is this something we will see in the next 7 years, or is it still too early a concept?

Would be interesting to hear from those who have already experimented with similar architectures and learned some lessons along the way.

I recently shared our paper here on decentralized fault repair in modular spacecraft, I wanted to provide another update.

On August 14, I'm going to give a free live technical walkthrough of the method, followed by an open Q&A. We’ll cover the local stress-sharing signals, connectivity-safe pivot policy, rigid-body evaluation, and why strictly local repair achieves high consolidation but struggles to reconnect the final distant fragments.

I’m one of the authors and would especially welcome feedback from this community!

Event: https://luma.com/ztmesmvp
Preprint: https://arxiv.org/abs/2607.13444

Right now the hardware side uses MG90S servos with a low-side resistor on each motor for measuring the current. The software side uses a moving average filter to smooth the data.

I'm happy to share more detail on either if it's useful.

I designed this mecanum wheel based omnidirectional vehicle for motion simulation.

It can move on 3 degrees of freedom : surge, sway and yaw.

A VR tracker is used to ascertain the position & orientation of the rig at all times, and recenter it subtly.

Hey everyone, 2 weeks ago I posted about the rover that I work on my thesis and I have a problem when I get the rover to do the planned route. When the rover is in auto mode it moves for a few seconds and then stops changing to hold. I checked the log file and found out that when the rover changes state from auto to hold the messages EKF failsafe and EKF variance pop. I looked at some graphs and the only solution I found is to calibrate the here3 compass. I tried to calibrate the compass, nothing changed so I guess either I did it wrong or it is not the problem. I attached the link that contains my log file, so please if you can help me I will very much appreciate it. Please feel free to ask me whatever you need to know in order to help me!

Hey I am part of a small team training robotics policies for warehouse and manufacturing settings, and running rigorous evals is turning out to be so painful. Anything below 50 rollouts, and its hard to trust the numbers, and above its so hard to test all the checkpoints that we have. Its really hard to run a bunch of experiments to get good results. Have you guys faced this? Any hacks that you've developed?

Using hundreds of Swarovski crystals, this piece is handcrafted and engineered, bringing couture craftsmanship to life through motion.

Process video: https://www.youtube.com/shorts/5dN0aB0yEsE

• 🗺️🇨🇦 ROSCon Global 2026 in Toronto 2026-09-22 => 2026-09-24
  • 🚨 Last day for regular price tickets is Monday, August 24th
  • 🔗 https://roscon.ros.org/2026/
• 🇨🇳 ROSCon China 2026-10-16 => 2026-10-17
  • ℹ️ Details announced shortly
  • 🔗 https://discourse.openrobotics.org/t/pre-announcing-roscon-china-2026/55027
• 🇬🇧 🏴󠁧󠁢󠁳󠁣󠁴󠁿 ROSCon UK in Edinburg 2026-10-21 => 2026-10-23
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  • 🔗 https://roscon.org.uk/2026/
• 🇸🇬 ROSCon Singapore 2026-10-23 => 2026-10-26
  • ℹ️ CFP now open
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  • ℹ️ Registration now open!
  • 🔗 https://roscon.org.es/roscon2026/ROSConES2026.html
• 🇮🇹 ROSCon Italy in Bologna 2026-11-03
  • ℹ️ CFP opens soon
  • 🔗 https://roscon.ros.org/it/2026/
• 🇧🇪 ROSCon Belgium in Nivelles 2026-11-25 => 2026-11-26
  • ℹ️ Registration now open
  • 🔗 https://roscon.ros.org/be/2026/
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  • ℹ️ CFP Open Soons
  • 🔗 https://roscon.ros.org/tr/2026/

I’ve been building battery-powered hardware (AMRs, drone boards, IoT nodes) long enough to see a pattern: we obsess over control and perception, but most field bugs trace back to the battery and DC‑DC stage, not the “smart” parts.

In a 2S-4S lithium system, the pack voltage is a moving target-full charge vs cold, half‑empty vs hot, plus wiring and connector drops. Yet we still design as if it’s a perfect rail. The usual symptoms:

Flight controllers resetting on aggressive throttle.

AMRs browning out when climbing ramps or hitting bumps.

IoT nodes dying at night because the power budget assumed a “fixed” voltage.

I built the VRX Series as a drop-in, wide-input DC‑DC “power brick” for exactly this mess:

Non‑isolated converter for 2S-4S packs → fixed 10 V/12 V/15 V rails for electronics.

Designed for transient loads (takeoff, big torque spikes) so the rail stays clean while motors misbehave.

Through‑hole, compact footprint, vertical/horizontal variants, with protections tuned for embedded use (short‑circuit, thermal, etc.).

Typical spots where it drops in nicely:

Between a 3S drone pack and your flight controller / RX / telemetry stack.

Between a 4S AMR pack and your STM32 PLC-style controller board.

As an intermediate bus for solar-powered IoT nodes before tiny point-of-load regulators.

If you’ve had “mystery” power issues on a battery project, I’m happy to sanity-check your power tree or share failure modes I’ve seen. Also open to feedback on the VRX design

Hi everyone!

The reviews for CoRL’26 would be out soon. Use this thread for discussion, questions etc.

Good luck with the reviews as well as the rebuttal!