China launches its first humanoid robot soccer league in Beijing.

This is way more entertaining than regular soccer.

The AI-controlled robots were supplied by Booster Robotics for the tournament and have the skills of 5 to 6 year old children.

Robots were seen getting carried off the field on stretchers after falling over.

Booster Robotics founder Cheng Hao says the robots' abilities will exponentially increase over time and will eventually challenge adult teams.

"We chose the football scenario for robot competition primarily for two reasons: first, to encourage students to apply their algorithmic skills to real-world robotics," Cheng said.

"Second, to showcase the robots' ability to walk autonomously and stably, withstand collisions, and demonstrate higher levels of intelligence and safety."

AEON Humanoid Features PYSONIC’s Ability Hand with Tactile Perception and 32 Grip Modes

Winning Moment. Cixliv won the first American Robot Fighting Championship 🏆 Who dares to challenge him?🥊

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Robots learning in simulation, and then mastering the real world.

[📍 Bookmark GitHub Repositories]

Today’s video shows a full Sim2Real pipeline with the OMY robot.

✅ Compact 6-DoF manipulator built for AI and robotics research
✅ Trained in Isaac Sim, validated in Gazebo, deployed in reality
✅ Ideal for imitation learning, RL, and Sim2Real experiments

Watch the full video and see the complete workflow in action.

AI Manipulator and Open Manipulator
https://github.com/ROBOTIS-GIT/open_manipulator

robotis_lab
https://github.com/ROBOTIS-GIT/robotis_lab

Resources:
https://forum.robotis.com

Researchers at the National University of Singapore have created a new underwater robot inspired by one of the ocean’s most intelligent creatures - the octopus. Designed for both practical underwater tasks and biomechanical research, the robot mimics the octopus’s unique swimming and movement abilities.

“Our research journey began long ago with studying diverse principles for reaching and grasping, locomotion, and swimming,” said Prof. Cecilia Laschi, who led the study.

Unlike many marine animals, octopuses are exceptionally agile - they can swim swiftly and interact with objects around them. The goal of the study was to develop a robotic system that closely replicates these advanced underwater capabilities.

A Canadian ag-tech startup, Mycionics, has built a robotic system that aims to bring more innovation into mushroom harvesting. 🇨🇦

Their setup uses dual-arm gantry robots, machine vision, and soft-grip tools to pick mushrooms.

The system doesn't replace humans entirely, but works collaboratively, handling repetitive tasks like picking, packing, and sorting, while also scanning each mushroom for real-time analytics.

It integrates with existing farm setups and scales easily. Already rolling out in North America, with European expansion underway.

By improving consistency and boosting yields up to 8%, Mycionics tackles labor shortages and food safety-showing how robotics can elevate even the most delicate, niche farming tasks.

Mushrooms, be ready, robots are coming for ya! 🍄

Thoughts? 🤔

"If you talk to ChatGPT about your most sensitive stuff and there's a lawsuit, we could be required to produce that..."

- Sam Altman, CEO of OpenAI

Chat: @neuralforum

👦🏼: ‘Mom, can we have Optimus Prime?'

👩🏻: ‘No, there is Optimus Prime at home…’

Optimus Prime at home 👇🏼

Creating something cool with robotics requires building it first.

So, the DIY aspect of robotics is essential.

Servos, cardboard boxes, and a simple controller, on which the control system is based, can be used to build a transformer robot....at home! 🏡

Beautiful moments of humanoid robots and humans. Humanoid robot (Astribot S1) is the music conductor, directing the orchestra and the audience to complete a great performance. Atmosphere, emotion, response, movement, collaboration, experience...

2024: everyone releasing their own Chat
2025: everyone releasing their own Code

Figure 02 folds laundry using the Helix AI model developed by Figure.

Figure claims this is the first instance of a humanoid robot with multi-fingered hands folding laundry fully autonomously using an end-to-end neural network.

Helix processes vision and language inputs to deliver precise motor control, handling deformable objects like towels without explicit object representations.

This also showcases adding new tasks only with training data, without requiring architectural changes to the model.