Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Google DeepMind just introduced Gemini Robotics 2. It's a single VLA that unlocks physical dexterity across different end effectors, hands or grippers, from one model checkpoint. Apptronik's Apollo 2 humanoid, with the 22-DoF SharpaWave hand, ties knots and seals a ziplock bag

TheHumanoidHub's profile picture

The Humanoid Hub

117,569 subscribers

133,528 görüntüleme • 3 ay önce •via X (Twitter)

SanatBilim & TeknolojiEğitim
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Gemini Robotics 2 moves physical AI beyond tabletop tasks, enabling intelligent whole-body control for humanoids. Watch Apptronik's Apollo 2 process a single prompt to reach, bend, and pick up a watering can ↓
1:29

Gemini Robotics 2 moves physical AI beyond tabletop tasks, enabling intelligent whole-body control for humanoids. Watch Apptronik's Apollo 2 process a single prompt to reach, bend, and pick up a watering can ↓

Google DeepMind

42,645 görüntüleme • 3 ay önce

A conversation with the Google DeepMind Robotics team about our latest Gemini Robotics 2 model, the arc of robotics progress, and where we go next 🤖
39:13

A conversation with the Google DeepMind Robotics team about our latest Gemini Robotics 2 model, the arc of robotics progress, and where we go next 🤖

Logan Kilpatrick

129,766 görüntüleme • 3 ay önce

Google DeepMind Humanoid legs or wheeled rovers? Should robots be cracking eggs? Watch as the Google DeepMind team behind Gemini Robotics 2 shares their behind-the-scenes insights and stories ↓
1:22

Google DeepMind Humanoid legs or wheeled rovers? Should robots be cracking eggs? Watch as the Google DeepMind team behind Gemini Robotics 2 shares their behind-the-scenes insights and stories ↓

Google AI

15,920 görüntüleme • 3 ay önce

Austin-based robotics startup Apptronik has unveiled Apollo 2, the latest version of its humanoid robot. Apollo 2 comes in both bipedal and wheeled versions and performs real-world tasks while collecting training data. Apptronik is using this data with Google DeepMind to train Gemini Robotics AI models, making Apollo smarter and more capable.
0:28

Austin-based robotics startup Apptronik has unveiled Apollo 2, the latest version of its humanoid robot. Apollo 2 comes in both bipedal and wheeled versions and performs real-world tasks while collecting training data. Apptronik is using this data with Google DeepMind to train Gemini Robotics AI models, making Apollo smarter and more capable.

Space and Technology

11,540 görüntüleme • 3 ay önce

We asked #Gemini 4 Argon to explain how it figured out how to play cornhole with Apptronik's Apollo - here it is in its own words 🤯. This is transformative for Physical AI 🦾. Try it yourself at : Learn more: Google DeepMind #Robotics
8:06

We asked #Gemini 4 Argon to explain how it figured out how to play cornhole with Apptronik's Apollo - here it is in its own words 🤯. This is transformative for Physical AI 🦾. Try it yourself at : Learn more: Google DeepMind #Robotics

Carolina Parada

15,191 görüntüleme • 24 gün önce

$935M for humanoid robots? Equity Podcast digs into Apptronik's massive raise, Google DeepMind partnership, and why investors can't quit physical AI:
1:13

$935M for humanoid robots? Equity Podcast digs into Apptronik's massive raise, Google DeepMind partnership, and why investors can't quit physical AI:

TechCrunch

17,631 görüntüleme • 8 ay önce

Today we’re thrilled to announce #SharpaWave — our first dexterous robotic hand — now officially in mass production and delivery! Robotic dexterity just took a leap forward. #Sharpa #Robotics #AI #DexterousHand #Robot #Humanoid #TactileSensing
1:28

Today we’re thrilled to announce #SharpaWave — our first dexterous robotic hand — now officially in mass production and delivery! Robotic dexterity just took a leap forward. #Sharpa #Robotics #AI #DexterousHand #Robot #Humanoid #TactileSensing

Sharpa

135,238 görüntüleme • 1 yıl önce

Intelligent general purpose robots need "physical common sense" . #GeminiRobotics ER 2 is just one of many safety layers needed. Lots more work to do. Safety report: Asimov-agentic benchmark: A fun red-teaming exercises with Apollo: Google DeepMind #Robotics
0:24

Intelligent general purpose robots need "physical common sense" . #GeminiRobotics ER 2 is just one of many safety layers needed. Lots more work to do. Safety report: Asimov-agentic benchmark: A fun red-teaming exercises with Apollo: Google DeepMind #Robotics

Carolina Parada

14,325 görüntüleme • 3 ay önce

Say hello to GR-2! With upgrades across hardware, design, and software, GR-2 rides into a new journey to the future of humanoid robotics. Bon voyage! Highlights: - H 175cm; W 63kg; DoF 53 - 12-DoF Dexterous Hand - Peak torque 230N.m - Optimized Tools for Innovative Development
1:25

Say hello to GR-2! With upgrades across hardware, design, and software, GR-2 rides into a new journey to the future of humanoid robotics. Bon voyage! Highlights: - H 175cm; W 63kg; DoF 53 - 12-DoF Dexterous Hand - Peak torque 230N.m - Optimized Tools for Innovative Development

Fourier

19,557 görüntüleme • 2 yıl önce

Google just announced Gemini Robotics 2, extending its physical AI models beyond tabletop manipulation. A robot tying a trash bag sounds routine, but might be a bigger breakthrough than it seems:
1:14

Google just announced Gemini Robotics 2, extending its physical AI models beyond tabletop manipulation. A robot tying a trash bag sounds routine, but might be a bigger breakthrough than it seems:

The Rundown AI

19,341 görüntüleme • 3 ay önce

In-hand cylinder rotation with RL. IROS 2025 Different sizes, zero-shot sim-to-real, and full dynamic tactile feedback — all in one hand. #Sharpa #SharpaWave #IROS2025 #Robotics #DexterousHand #Humanoid #TactileSensing #ReinforcementLearning #IssacSim
0:20

In-hand cylinder rotation with RL. IROS 2025 Different sizes, zero-shot sim-to-real, and full dynamic tactile feedback — all in one hand. #Sharpa #SharpaWave #IROS2025 #Robotics #DexterousHand #Humanoid #TactileSensing #ReinforcementLearning #IssacSim

Sharpa

112,645 görüntüleme • 1 yıl önce

Boston Dynamics and Google DeepMind announced a partnership to integrate Gemini Robotics AI models with the new electric Atlas humanoid robots. Got to say hi to Carolina Parada before the presentation
0:31

Boston Dynamics and Google DeepMind announced a partnership to integrate Gemini Robotics AI models with the new electric Atlas humanoid robots. Got to say hi to Carolina Parada before the presentation

The Humanoid Hub

14,689 görüntüleme • 10 ay önce

Here’s a first look at Gemini Robotics 2 from Google DeepMind on the FR3 Duo: 20 minutes of uninterrupted, real-time tool kitting. Notice the emergent recovery behaviours - generalized dexterity & precision at a whole new level. More demos dropping over the next days! Stay tuned!
2:31

Here’s a first look at Gemini Robotics 2 from Google DeepMind on the FR3 Duo: 20 minutes of uninterrupted, real-time tool kitting. Notice the emergent recovery behaviours - generalized dexterity & precision at a whole new level. More demos dropping over the next days! Stay tuned!

Konstantinos Bousmalis

66,850 görüntüleme • 3 ay önce

My conversation with Kanishka Rao, who went from working on particle physics at CERN to driving robotics at Google DeepMind. We get into the Gemini Robotics 2 release, trending training recipes in the industry, physical AGI, world models, and more. 1:00 Intro 1:47 Does AI's pace feel crazy? 4:04 From particle physics PHD to robotics 6:03 Speech recognition's deep learning moment 8:43 Whole-body humanoid control 10:47 The trash-bag tying demo 13:07 The robotics data pyramid 14:13 Transferring skills across robots 16:30 How does Motion Transfer work 16:56 Why a separate reasoning model 19:02 Can distillation work in robotics? 20:02 The ASIMOV safety benchmark 22:47 VLAs vs world models 25:10 The missing tactile sensing piece 27:48 How far to physical AGI? 30:07 Fundamental breakthrough needed? 31:53 World models for evaluation 33:45 Will the model layer commoditize? 35:11 Humanoid as a form factor
38:27

My conversation with Kanishka Rao, who went from working on particle physics at CERN to driving robotics at Google DeepMind. We get into the Gemini Robotics 2 release, trending training recipes in the industry, physical AGI, world models, and more. 1:00 Intro 1:47 Does AI's pace feel crazy? 4:04 From particle physics PHD to robotics 6:03 Speech recognition's deep learning moment 8:43 Whole-body humanoid control 10:47 The trash-bag tying demo 13:07 The robotics data pyramid 14:13 Transferring skills across robots 16:30 How does Motion Transfer work 16:56 Why a separate reasoning model 19:02 Can distillation work in robotics? 20:02 The ASIMOV safety benchmark 22:47 VLAs vs world models 25:10 The missing tactile sensing piece 27:48 How far to physical AGI? 30:07 Fundamental breakthrough needed? 31:53 World models for evaluation 33:45 Will the model layer commoditize? 35:11 Humanoid as a form factor

The Humanoid Hub

25,161 görüntüleme • 3 ay önce

Sharp Robotics of Singapore has officially unveiled SharpaWave, an impressively dexterous hand. The 1:1 life-size model boasts 22 degrees of freedom, with over 1,000 tactile sensors per fingertip. It can crack eggs, play the piano, or use scissors, combining strength, speed, and dexterity once thought impossible.
1:10

Sharp Robotics of Singapore has officially unveiled SharpaWave, an impressively dexterous hand. The 1:1 life-size model boasts 22 degrees of freedom, with over 1,000 tactile sensors per fingertip. It can crack eggs, play the piano, or use scissors, combining strength, speed, and dexterity once thought impossible.

CyberRobo

893,668 görüntüleme • 1 yıl önce

For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Today, we take a major stride toward making that dream a reality: Introducing Gemini Robotics 2 from Google DeepMind, the intelligence layer powering the next generation of truly adaptable robots. This major advance unlocks intelligent whole-body control, advanced dexterity, and even multi-robot collaboration 🤯. Ok but... how does a robot actually "think"? Real-world tasks take time and planning. To manage that complexity, our new embodied reasoning model, Gemini Robotics ER 2, acts as the robot’s high-level brain, enhancing the robot’s capabilities to: — Observe the environment — Reason about the actions needed to complete the task — Coordinate with the vision-language-action model to carry out actions — Track progress until the job is done This setup allows robots to execute complex multi-step workflows, self-correct if a step fails, and adapt to completely novel situations. Learn more about Gemini Robotics ER 2 (and our two other brand new models) here:
2:16

For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Today, we take a major stride toward making that dream a reality: Introducing Gemini Robotics 2 from Google DeepMind, the intelligence layer powering the next generation of truly adaptable robots. This major advance unlocks intelligent whole-body control, advanced dexterity, and even multi-robot collaboration 🤯. Ok but... how does a robot actually "think"? Real-world tasks take time and planning. To manage that complexity, our new embodied reasoning model, Gemini Robotics ER 2, acts as the robot’s high-level brain, enhancing the robot’s capabilities to: — Observe the environment — Reason about the actions needed to complete the task — Coordinate with the vision-language-action model to carry out actions — Track progress until the job is done This setup allows robots to execute complex multi-step workflows, self-correct if a step fails, and adapt to completely novel situations. Learn more about Gemini Robotics ER 2 (and our two other brand new models) here:

Google AI

790,000 görüntüleme • 3 ay önce

Gemini 4 Argon taught a robot to play cornhole just by watching a video. It mapped the physics, coded its own simulation, and taught Apptronik's Apollo humanoid to sink 7 throws in a row.
1:43

Gemini 4 Argon taught a robot to play cornhole just by watching a video. It mapped the physics, coded its own simulation, and taught Apptronik's Apollo humanoid to sink 7 throws in a row.

Google DeepMind

281,822 görüntüleme • 24 gün önce