behindrobotics is an AI native company mapping the robotics, drones & embodied AI industries, step by step, with infotaining editorialsbehindrobotics.com Berlin, GermanyJoined August 2026
Good news for Tesla’s Optimus
According to The Paper(Chinese state media), Tesla’s robotics team has started factory audits at Chinese suppliers including Tuopu Group, Sanhua Intelligent Controls and Joyson Electronics.
These companies supply key electromechanical components for Optimus, including joint modules, actuators and precision structural parts.
More importantly, these are not just automotive suppliers being evaluated for a potential robotics project. Sources say they have already received Optimus orders, with the audits now focusing on production lines, quality and compliance before manufacturing begins.
Elon previously said Tesla was rebuilding the Optimus supply chain from scratch. Now, Chinese suppliers that already have Optimus orders are being brought into Tesla’s manufacturing and quality system.
That is another sign that Optimus mass production is moving closer.
But We still haven’t seen Optimus V3
GPT-6 Astra × Sharpa Wave just spun the pen—frontier autonomous training on a dexterous hand built for contact-rich skill, with 22 DoF, human-like form, and high-res touch.
It’s one of the hardest tests for manipulation: high speed, continuous contact, control under slip. Yet with Sharpa × GPT, it became solvable.
Dexterity unlocks what AI can do.
Sharpa Wave — built for Physical AI.
GPT-6 Astra test 4/n
Prompt: "Implement pen spinning with a dexterous hand. Use Isaac Lab for RL training, use the Sharpa hand, and create the pen mesh yourself. Give me a trained RL policy and a visualization video. You are free to search the web and download papers or anything
Not just following commands. Taking part in the moment.
At the Greater Bay Area Film Concert, AGIBOT A3 interacted with celebrities in real time, following the conversation and coordinating its speech, movements and expressions.
Powered by WITA-Omni, A3 can perceive what’s happening around it and respond naturally in the moment.
#AGIBOT#AGIBOTA3 #WITAOmni#HumanoidRobotics#EmbodiedAI
Chinese startup Spirit AI trains humanoid robots to perform tasks like sorting waste and slicing vegetables, aiming for industrial applications within 1-2 years reut.rs/4xEsyC3
A robot that throws a baseball at 113 km/h 🥎
AthenaZero, from the @rai_inst, on the cover of Science Robotics this month.
Effective mass at the wrist: 3.97 kg. The paper measures a Franka at 29.21 kg and a UR5e at 34.72 kg on the same terms. That's close to an order of magnitude, and it puts the arm in the range of a human one.
Here's where it comes from. A conventional industrial arm runs gear ratios of 80:1 or higher, and a gearbox multiplies reflected inertia by the square of its ratio.
You get a small motor and an arm that feels heavy to move. AthenaZero uses quasi-direct drive at roughly 5:1 on most joints, and remotises the transmissions so the heavy components sit proximal, near the torso, rather than out at the wrist.
→ One-DoF torso, two 7-DoF arms, two 6-DoF under-actuated hands. 22 actuators across 27 joints
→ 1.6 m tall, 1.8 m wingspan, payload above 3 kg
→ Throwing above 30 m/s, catching at over 14 m/s across 7.3 m
→ Batting with an 82% contact rate at 31 mph
The effective mass analysis tooling is open under an MIT licence with datasets on Zenodo.
Low effective mass is what lets an arm reverse direction at human cadence, absorb a contact instead of transmitting it, and stay safe beside a person.
Every contact-rich task sits downstream of it. Throwing a baseball is just the most legible way to prove you have it.
Here's the Science page: science.org/doi/10.1126/sc…
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Introducing Helix 2.5
Helix 2.5 can zero-shot three full-body behaviors across 30 real homes.
No training data whatsoever collected in any home.
The robot just had to figure it out.
TRON 2 VLA Demo – EP.4: Autonomous Drawer Opening and Toy Retrieval
TRON 2 autonomously opens a drawer and retrieves a toy using VLA: identify the drawer → pull it open → locate the target object → retrieve it precisely.
This demo completes an entire temporally constrained task sequence. The robot must determine the correct order of actions—one wrong step, and it cannot retrieve the toy.
#EmbodiedAI#DualArmRobot#Robotics#TRON2#VLA
Years of real-world deployment are why Digit 5 is being designed the way it is.
The hard part was never the task. It's everything a real facility demands around it.
Thanks to @RobotReport for the coverage: therobotreport.com/agilitys-digit…
Introducing Digit 5.
Agility’s next-generation humanoid, engineered for cooperatively safe work at scale, allowing it to work in close proximity to people without the physical safety barriers required by traditional automation.
Explore Digit 5: agilityrobotics.com/solutions/digit
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