NVIDIA Robotics ✓
@NVIDIARobotics · Santa Clara, CA · joined 25 Nov 2009
NVIDIA Robotics inspires visionaries and developers to create the next generation of AI-driven robots and explore the world of physical AI.
146 494Followers
384Following
8 934Posts total
362.9KViews on collected posts
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@NVIDIARobotics Simulation and accelerated compute build the intelligence, but bridging robots into complex, real-world environments requires absolute spatial ground truth.
High-precision RTK positioning is the essential piece that keeps autonomous systems anchored to physical r
256 views · 10 likes
· 2 reposts · 0 replies
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@NVIDIARobotics $AEVA is very important for $NVDA
269 views · 4 likes
· 0 reposts · 1 replies
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@NVIDIARobotics This is where robotics gets hard: not demos in clean labs, but machines working around the mess and unpredictability of the real world. 🤖
24 views · 1 likes
· 0 reposts · 0 replies
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Robots are ready to take on complex environments. 🌍
See how AI, simulation, and accelerated computing are redefining what’s possible in robotics at #NVIDIAGTC Berlin.
View sessions 👉 https://t.co/KuuYG9io52 https://t.co/fPOZUrWjyr
14.6K views · 350 likes
· 56 reposts · 17 replies
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Toronto is calling the ROS community. 🍁
Join us at #ROSCon, September 22–24, for technical talks, tutorials, demos, and conversations about what’s next in robotics.
Connect with leading robotics developers and explore the latest from the NVIDIA robotics platform and ROS 2 for h
4.1K views · 52 likes
· 12 reposts · 0 replies
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Accelerate Computational Engineering and Robotics With NVIDIA Warp https://t.co/uEjzdVwxfB
3.3K views · 67 likes
· 8 reposts · 1 replies
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🤖 A robot policy can be compact enough to run onboard and fast enough to keep the arm moving continuously.
Post-trained NVIDIA Cosmos 3 Edge on NVIDIA Jetson AGX Thor T5000 generates roughly 2.13 seconds of robot motion in about 1.53 seconds, then replans from fresh camera and h
5K views · 158 likes
· 21 reposts · 6 replies
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@NVIDIARobotics No specs, no price, why bother announcing this now?
492 views · 10 likes
· 0 reposts · 0 replies
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@NVIDIARobotics @NVIDIAAI Awesome! Time to build a new robot!! https://t.co/QNW3r7YrdS
1.5K views · 22 likes
· 0 reposts · 3 replies
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@NVIDIARobotics more inference opens room for robots operating far from cloud regions, with model data stored closer to the device
1K views · 9 likes
· 0 reposts · 1 replies
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Introducing NVIDIA Jetson Orin Nano 2 👏
Built to bring frontier intelligence to entry-level edge AI, this robotics computer will deliver:
• 2x the inference performance of Jetson Orin Nano Super
• 40% lower power consumption at the same performance in 15W mode
• The same https:
152.3K views · 1.6K likes
· 182 reposts · 93 replies
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@NVIDIARobotics @UnitreeRobotics @SharpaRobotics Humanoid robots will produce years of sensor feeds, task attempts, failures, and recoveries.
If the stack runs from data capture to model deployment, the storage can’t be an afterthought.
It needs to be persistent, verifiable,
1K views · 35 likes
· 5 reposts · 1 replies
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@UnitreeRobotics @SharpaRobotics Leading institutions like @allen_ai, ETH Zurich, @Stanford Robotics Center, and @UCSanDiego will use the reference design to advance frontier humanoid robotics research.
4.6K views · 26 likes
· 0 reposts · 2 replies
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NVIDIA announces the first open humanoid robot reference design built for robotics research.
The NVIDIA Isaac GR00T Reference Humanoid Robot combines the @UnitreeRobotics H2 humanoid robot, @SharpaRobotics Wave five-fingered hands for dexterous manipulation, Jetson Thor onboard
174.3K views · 1.3K likes
· 237 reposts · 59 replies
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0:20
เทียบกับบัญชีขนาดเดียวกัน
11 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม เข้าถึงคนน้อยกว่าบัญชีรุ่นเดียวกัน แต่ดึงการมีส่วนร่วมได้แรงกว่ามาก.
ยอดดูมัธยฐาน1 480บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %1.01%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %2.03%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 100K–1M | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 1 480 | 5 983 | 0.25× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 1.01% | 1.49% | 0.68× |
| อัตราการมีส่วนร่วม | 2.03% | 0.93% | 2.19× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
174.3K1 Jun
4.6K
1K
152.3K25 Aug
1K
1.5K
49226 Aug
5K2 Sep
3.3K
4.1K
14.6K
24
269
256
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.96%1 Jun
0.60%
4.23%
1.29%25 Aug
0.99%
1.69%
2.03%26 Aug
3.69%2 Sep
2.27%
1.62%
2.91%
4.17%
1.86%
4.69%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes68.1%3 670 in total
Reposts9.7%523 in total
Replies3.4%184 in total
Quotes2.7%147 in total
Bookmarks16.0%862 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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