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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 ↓

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Google DeepMind

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42,372 Aufrufe • vor 2 Monaten •via X (Twitter)

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Google DeepMindvor 2 Monaten

Three new models power this breakthrough: 1️⃣ Gemini Robotics 2: A vision-language-action model controlling humanoids from feet to fingertips 2️⃣ Gemini Robotics ER 2: Capable of real-world video understanding and complex, multi-step planning 3️⃣ On-Device 2: Runs locally and adapts to new robot bodies in just a few hours

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Google DeepMindvor 2 Monaten

One brain. For any robot. 🤖 We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence to humanoids, advanced dexterity, multi-robot teamwork and more.

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Google DeepMindvor 2 Monaten

To be genuinely useful in our homes and workplaces, robots need finesse. Gemini Robotics 2 equips different hardware platforms with high dexterity. It can control a five-fingered hand to tie a knot or screw in a lightbulb - while also managing parallel grippers for complex packing tasks. We’re additionally introducing multi-robot collaboration so completely different types of robots can communicate and work together to solve problems a single robot couldn’t do alone. 🤝 Find out more →

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✒️﴾LAHN-MOHAMED﴿↓vor 1 Monat

@Apptronik For Sale #Domain #DomainSale #DomainNames #DomainNamesale #NamesCon #AI #Domains #Startups

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Wei佳vor 2 Monaten

@Apptronik A single prompt driving reach, bend, and grasp is a much better test of physical AI than another isolated pick-and-place demo.

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OpeningAi.com | For Salevor 2 Monaten

@Apptronik This is a big shift from stationary arms to actual useful movement.

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JNvor 1 Monat

@Apptronik About as helpful as my grandmother for getting the house in order, but slower

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This is how Gemini Robotics 2 helps Apptronik’s Apollo 2 use whole body intelligence to pack for a sports game ↓
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This is how Gemini Robotics 2 helps Apptronik’s Apollo 2 use whole body intelligence to pack for a sports game ↓

Google DeepMind

144,765 Aufrufe • vor 1 Monat

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
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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

The Humanoid Hub

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One brain. For any robot. 🤖 We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence to humanoids, advanced dexterity, multi-robot teamwork and more.
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One brain. For any robot. 🤖 We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence to humanoids, advanced dexterity, multi-robot teamwork and more.

Google DeepMind

2,614,567 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 2 Monaten

The world is designed for humans ♥️. #GeminiRobotics 2 gives humanoids the intuitive and intelligent whole body coordination we take for granted so they can be. more helpful!🦿 🧠 Google DeepMind #Robotics
1:39

The world is designed for humans ♥️. #GeminiRobotics 2 gives humanoids the intuitive and intelligent whole body coordination we take for granted so they can be. more helpful!🦿 🧠 Google DeepMind #Robotics

Carolina Parada

11,810 Aufrufe • vor 2 Monaten

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.
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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 Aufrufe • vor 2 Monaten

Playing with Gemini Robotics 2 on Apollo is so fun! The incredible thing about whole body generalization in 3D space on humanoids is that all the recovery, retry and reactive behaviors look very human-like - like having a proto human intelligence in a metal body in your lab. Unseen task, unscripted motions.
0:31

Playing with Gemini Robotics 2 on Apollo is so fun! The incredible thing about whole body generalization in 3D space on humanoids is that all the recovery, retry and reactive behaviors look very human-like - like having a proto human intelligence in a metal body in your lab. Unseen task, unscripted motions.

Keerthana Gopalakrishnan

536,971 Aufrufe • vor 1 Monat

Humanoids need a single, generalist control policy for all of their physical tasks, not a new one for every new chore or demo. A policy for walking can't dance. A policy for dancing can't support mowing the lawn. We need to scale up humanoid control for diverse behaviors, just like we did with language and video models. Watch this humanoid, supported by a single control policy, to start its day, mow the lawn, jog, dance, and even hold the elevator for a colleague. This is the "System 1" for humanoids—a robust, natural humanoid controller that will support general-purpose autonomy. Project Page: #Robotics #AI #NVIDIA #SONIC #FoundationModel 🤖🔥
1:33

Humanoids need a single, generalist control policy for all of their physical tasks, not a new one for every new chore or demo. A policy for walking can't dance. A policy for dancing can't support mowing the lawn. We need to scale up humanoid control for diverse behaviors, just like we did with language and video models. Watch this humanoid, supported by a single control policy, to start its day, mow the lawn, jog, dance, and even hold the elevator for a colleague. This is the "System 1" for humanoids—a robust, natural humanoid controller that will support general-purpose autonomy. Project Page: #Robotics #AI #NVIDIA #SONIC #FoundationModel 🤖🔥

Zhengyi “Zen” Luo

15,982 Aufrufe • vor 10 Monaten

Control a robot in simulation with the Gemini Robotics Embodied Reasoning model 🤖 Direct tasks like object localization and placement by simply prompting a robotic arm to pick up and place objects.
0:20

Control a robot in simulation with the Gemini Robotics Embodied Reasoning model 🤖 Direct tasks like object localization and placement by simply prompting a robotic arm to pick up and place objects.

Google AI Developers

1,296,984 Aufrufe • vor 7 Monaten

Welcome to Robot Park, where we’re building the future with Apollo 2. Robot Park is where Apollo learns today, getting the experience needed to make a difference tomorrow. #Apptronik #Robotics #AI #Humanoids
1:14

Welcome to Robot Park, where we’re building the future with Apollo 2. Robot Park is where Apollo learns today, getting the experience needed to make a difference tomorrow. #Apptronik #Robotics #AI #Humanoids

Apptronik

189,477 Aufrufe • vor 3 Monaten

Cool look at a fleet of Apollo 2 robots doing a variety of pick and place tasks. Actually this whole video showed quite a wide range of uses for their robot.
0:33

Cool look at a fleet of Apollo 2 robots doing a variety of pick and place tasks. Actually this whole video showed quite a wide range of uses for their robot.

Chris Paxton

25,686 Aufrufe • vor 3 Monaten

Gemini Robotics 2 on Apollo, whole body generalization in 3D, World Cup edition :) These motions are entirely unscripted and no data was collected for this particular task. All reactive full body behaviors - when to step back or step forward, whether to retry, where to look and step - are emergent whole body generalization from the action model.
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Gemini Robotics 2 on Apollo, whole body generalization in 3D, World Cup edition :) These motions are entirely unscripted and no data was collected for this particular task. All reactive full body behaviors - when to step back or step forward, whether to retry, where to look and step - are emergent whole body generalization from the action model.

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Humanoid Robots can Think, Move, and Adapt in Real Time. LimX COSA (Cognitive OS of Agents), the first physical-world-native agentic OS, unifies cognitive reasoning and whole-body control, enabling robots to complete long-horizon, multi-step tasks.
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Humanoid Robots can Think, Move, and Adapt in Real Time. LimX COSA (Cognitive OS of Agents), the first physical-world-native agentic OS, unifies cognitive reasoning and whole-body control, enabling robots to complete long-horizon, multi-step tasks.

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Chinese robotics company Unitree has developed a new AI model for general-purpose humanoid robots. The robot can autonomously sort objects, arrange flowers, stack cups, handle laundry, and organize shoes. The system combines vision, reasoning, and whole-body control to perform a wide range of household tasks.

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📢 First contact between a frontier model and robots! Gemini Robotics is a SOTA generalist Vision-Language-Action model bringing frontier model intelligence to the physical world. It's an extremely capable model enabling dexterous, steerable, and general robot control. 🧵⬇️
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📢 First contact between a frontier model and robots! Gemini Robotics is a SOTA generalist Vision-Language-Action model bringing frontier model intelligence to the physical world. It's an extremely capable model enabling dexterous, steerable, and general robot control. 🧵⬇️

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Teamwork makes the dream work. To test multi-robot collaboration with Gemini Robotics 2, we challenged our Apollo and Duo robots to tidy up a messy garage. The high-level reasoning model breaks down what to do, where to go, and identifies the exact moment to hand over control ↓
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Teamwork makes the dream work. To test multi-robot collaboration with Gemini Robotics 2, we challenged our Apollo and Duo robots to tidy up a messy garage. The high-level reasoning model breaks down what to do, where to go, and identifies the exact moment to hand over control ↓

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Physical AI is here and it’s scaling fast. 👏 From simulation of robotics and autonomous systems, a full stack of advanced libraries is powering the next generation of intelligent, real-world machines. Watch the #NVIDIAGTC montage: Catch up on all Physical AI Days sessions:
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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
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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

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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

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🚨 Without Any Motion Priors, how to make humanoids do versatile parkour jumping🦘, clapping dance🤸, cliff traversal🧗, and box pick-and-move📦 with a unified RL framework? Introduce WoCoCo: 🧗 Whole-body humanoid Control with sequential Contacts 🎯Unified designs for minimal tuning across tasks 🤖Generalize to various high-DoF robots Website:
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🚨 Without Any Motion Priors, how to make humanoids do versatile parkour jumping🦘, clapping dance🤸, cliff traversal🧗, and box pick-and-move📦 with a unified RL framework? Introduce WoCoCo: 🧗 Whole-body humanoid Control with sequential Contacts 🎯Unified designs for minimal tuning across tasks 🤖Generalize to various high-DoF robots Website:

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