0xdvb / Dan B

2026: The future is no longer coming - it’s already here.Robots are getting smarter, more human-like, and deeply integrated into real-world operations. These are the Top 5 Global Robotics Trends defining 2026. Which one do you think will have the biggest impact?

This shall be an interesting conversation today. 😂 @adcock_brett @Figure_robot

This kind of transparency is rare and extremely valuable for anyone building in deep tech and robotics. Respect for the journey, Ashur. Well deserved.

5+ years of grinding through technical challenges, manufacturing issues, customer pilots, capital winters, and countless setbacks - only to finally close a Series B.

Just read Ashur’s raw and honest article “Blood in My Shoes: 2234 Days”. It’s a powerful reminder of what it actually takes to build a robotics company from zero. linkedin.com/pulse/blood-my…

Huge congrats to the Lucid Bots team on closing Series B! 5 years ago it was just an idea. Today - real robots, real customers, and real revenue. Well deserved. @Lucid_Bots

A quiet but very symbolic moment.

50+ companies. One Arm ecosystem. From hyperscaler, cloud, silicon, memory, networking, software, system design and manufacturing, the industry has come together to support AI infrastructure and our growth into silicon. okt.to/Nyxl3M #ArmEverywhere

We worked closely with @Meta on the development of the Arm AGI CPU. 🤝 Built to optimize infrastructure across Meta’s family of apps, and working alongside Meta's custom accelerators, it drives more efficient orchestration across AI systems. ⚙️ This is how we deliver AI experiences at a global scale. okt.to/zdRFy6 #ArmEverywhere

🔴 We’re live. #ArmEverywhere starts now. Join Arm CEO Rene Haas as he introduces a new chapter for AI compute. 🎥 Watch now. x.com/i/broadcasts/1…

Meta being the lead partner makes it even more credible. How fast can Arm turn this into production silicon that actually ships at scale?Impressive evolution of the platform.

More than 2x performance per rack vs x86 while staying extremely power-efficient is a bold claim. If it delivers, this could become a very attractive alternative for hyperscalers looking to scale agent workloads without blowing up their power budgets.

@adcock_brett just launched Hark - a new AI lab building the "most advanced personal intelligence". After 3 years building humanoids (Figure), he’s now creating an AGI interface with persistent memory, deep personalization, and real-world grounding.

Figure 03. Impressive. 🤖🦾🦿@adcock_brett

China’s robotic electricians are doing live high-voltage work at scale. 220–500 kV lines: tightening bolts, replacing insulators, stringing conductors - all energized, in rain & wind. Hundreds deployed by State Grid. Not prototypes - real nationwide ops.

Meet “Roadrunner,” a new 15kg (33 lb) bipedal wheeled robot prototype featuring multi-modal locomotion: side-by-side and inline wheel modes and and stepping. Its symmetric legs articulate at the knee for obstacle avoidance.

@GatlinRobotics just shipped their first commercial RaaS deployment - and they did it in under 6 months since founding (Oct 2025).

In a world where most humanoid startups are still in the lab or doing demos, Gatlin is already billing customers and running field beta tests. If you’re in facility management, robotics research or physical AI - worth watching closely.

This is a very clever wedge: start with high-turnover, repetitive facility tasks (janitorial work has insane labor shortages), collect real-world data fast, iterate in sim → real loop, and gradually expand to general-purpose humanoid capabilities.