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Humanoid whole-body control ASI benchmark

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The Humanoid Hub

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13,363 görüntüleme • 4 ay önce •via X (Twitter)

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‘CLONE’ – whole-body teleoperation of a humanoid. Intuitive control signals are captured by tracking the teleoperator’s head and hand poses using Apple Vision Pro. A Mixture-of-Experts policy takes the sparse input and synthesizes the corresponding whole-body humanoid pose.
1:08

‘CLONE’ – whole-body teleoperation of a humanoid. Intuitive control signals are captured by tracking the teleoperator’s head and hand poses using Apple Vision Pro. A Mixture-of-Experts policy takes the sparse input and synthesizes the corresponding whole-body humanoid pose.

The Humanoid Hub

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🎾Your humanoid tennis player is here!🤖 Introducing LATENT (Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data) — the world’s first real-time whole-body planning and control algorithm for athletic humanoid tennis. For the first time, a humanoid robot can sustain high-dynamic, long-horizon tennis rallies with millisecond-level reactions, precise ball striking, and natural whole-body motion. This marks a leap from mechanical motion imitation to intelligent, decision-driven athletic interaction. #Galbot #Robotics #Innovation #AI #Technology #Humanoid
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🎾Your humanoid tennis player is here!🤖 Introducing LATENT (Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data) — the world’s first real-time whole-body planning and control algorithm for athletic humanoid tennis. For the first time, a humanoid robot can sustain high-dynamic, long-horizon tennis rallies with millisecond-level reactions, precise ball striking, and natural whole-body motion. This marks a leap from mechanical motion imitation to intelligent, decision-driven athletic interaction. #Galbot #Robotics #Innovation #AI #Technology #Humanoid

Galbot

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Whether teleoperated or autonomous, whole body movements like picking objects from the ground are challenging for humanoid robots. A UC San Diego paper introduces a framework that combines sim-to-real RL and trajectory optimization for adaptive, real-time whole body control.
1:05

Whether teleoperated or autonomous, whole body movements like picking objects from the ground are challenging for humanoid robots. A UC San Diego paper introduces a framework that combines sim-to-real RL and trajectory optimization for adaptive, real-time whole body control.

The Humanoid Hub

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Let’s think about humanoid robots outside carrying the box. How about having the humanoid come out the door, interact with humans, and even dance? Introducing Expressive Whole-Body Control for Humanoid Robots: See how our robot performs rich, diverse, and expressive motions in the real world 👇🧵
2:37

Let’s think about humanoid robots outside carrying the box. How about having the humanoid come out the door, interact with humans, and even dance? Introducing Expressive Whole-Body Control for Humanoid Robots: See how our robot performs rich, diverse, and expressive motions in the real world 👇🧵

Xiaolong Wang

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Introduce OmniH2O, a learning-based system for whole-body humanoid teleop and autonomy: 🦾Robust loco-mani policy 🦸Universal teleop interface: VR, verbal, RGB 🧠Autonomy via ShitposterAI or imitation 🔗Release the first whole-body humanoid dataset
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Introduce OmniH2O, a learning-based system for whole-body humanoid teleop and autonomy: 🦾Robust loco-mani policy 🦸Universal teleop interface: VR, verbal, RGB 🧠Autonomy via ShitposterAI or imitation 🔗Release the first whole-body humanoid dataset

Tairan He

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Very simple elementary body control the whole.
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Very simple elementary body control the whole.

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Training a Whole-Body Control Foundation Model -- new work from my team at Agility Robotics A neural network for controlling our humanoid robots which is robust to disturbances, can handle heavy objects, and is a powerful platform for learning new whole-body skills learn more in our blog post ->
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Training a Whole-Body Control Foundation Model -- new work from my team at Agility Robotics A neural network for controlling our humanoid robots which is robust to disturbances, can handle heavy objects, and is a powerful platform for learning new whole-body skills learn more in our blog post ->

Chris Paxton

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Command humanoids *directly* with natural language? Introducing LangWBC, a generative, end-to-end policy that turns natural language into real-world whole-body humanoid control! 💬→🦿Smooth, robust, surprisingly intuitive! See more 👉 #RSS2025
0:45

Command humanoids *directly* with natural language? Introducing LangWBC, a generative, end-to-end policy that turns natural language into real-world whole-body humanoid control! 💬→🦿Smooth, robust, surprisingly intuitive! See more 👉 #RSS2025

Zhongyu Li

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1x Neo Gamma getting a bottle of water from the fridge. Being able to open something like a heavy stainless steel fridge door is a quiet advantage of a humanoid with whole-body control; humans use our whole bodies to accomplish even very simple tasks like this.
0:21

1x Neo Gamma getting a bottle of water from the fridge. Being able to open something like a heavy stainless steel fridge door is a quiet advantage of a humanoid with whole-body control; humans use our whole bodies to accomplish even very simple tasks like this.

Chris Paxton

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🤖Introducing TWIST: Teleoperated Whole-Body Imitation System. We develop a humanoid teleoperation system to enable coordinated, versatile, whole-body movements, using a single neural network. This is our first step toward general-purpose robots. 🌐
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🤖Introducing TWIST: Teleoperated Whole-Body Imitation System. We develop a humanoid teleoperation system to enable coordinated, versatile, whole-body movements, using a single neural network. This is our first step toward general-purpose robots. 🌐

Yanjie Ze

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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.

LimX Dynamics

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Excited to open-source GMR: General Motion Retargeting. Real-time human-to-humanoid retargeting on your laptop. Supports diverse motion formats & robots. Unlock whole-body humanoid teleoperation (e.g., TWIST). video with 🔊
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Excited to open-source GMR: General Motion Retargeting. Real-time human-to-humanoid retargeting on your laptop. Supports diverse motion formats & robots. Unlock whole-body humanoid teleoperation (e.g., TWIST). video with 🔊

Yanjie Ze

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🚀 Can we make a humanoid move like Cristiano Ronaldo, LeBron James and Kobe Byrant? YES! 🤖 Introducing ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills Website: Code:
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🚀 Can we make a humanoid move like Cristiano Ronaldo, LeBron James and Kobe Byrant? YES! 🤖 Introducing ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills Website: Code:

Tairan He

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🎓 Excited to defend my PhD thesis “Learning Universal Humanoid Control” at CMU this Friday! From scalable motion imitators to visual dexterous whole-body policies — it’s been a wild ride 🤖✨ 📅 April 25, 2025 📍 CMU RI & online 🔗
1:17

🎓 Excited to defend my PhD thesis “Learning Universal Humanoid Control” at CMU this Friday! From scalable motion imitators to visual dexterous whole-body policies — it’s been a wild ride 🤖✨ 📅 April 25, 2025 📍 CMU RI & online 🔗

Zhengyi “Zen” Luo

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UK-based startup 'Humanoid' announced KinetIQ, an AI framework with a Vision-Language-Action (VLA) model at its core. It uses a four-layer architecture: fleet orchestration, task decomposition, VLA, and RL for whole-body control. It works on both bipedal and wheeled robots.
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UK-based startup 'Humanoid' announced KinetIQ, an AI framework with a Vision-Language-Action (VLA) model at its core. It uses a four-layer architecture: fleet orchestration, task decomposition, VLA, and RL for whole-body control. It works on both bipedal and wheeled robots.

The Humanoid Hub

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🤖 Introducing ExBody2: our most advanced whole-body controller for humanoid robots. 🔊 Sound on to watch it move in perfect rhythm to the beats.
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🤖 Introducing ExBody2: our most advanced whole-body controller for humanoid robots. 🔊 Sound on to watch it move in perfect rhythm to the beats.

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Remarkably lifelike motion and fluidity. BeyondMimic is a framework for training humanoid whole-body control from large mocap datasets. First, an open-source motion-tracking pipeline to reproduce diverse, highly dynamic human skills on real hardware, then distilling them into a guided state-action diffusion model for zero-shot, task-specific control. Project page:
2:42

Remarkably lifelike motion and fluidity. BeyondMimic is a framework for training humanoid whole-body control from large mocap datasets. First, an open-source motion-tracking pipeline to reproduce diverse, highly dynamic human skills on real hardware, then distilling them into a guided state-action diffusion model for zero-shot, task-specific control. Project page:

The Humanoid Hub

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Like clockwork, another Chinese humanoid drops. Beijing-based NOETIX Robotics has unveiled the N2, a 3'7" tall humanoid weighing 20 kg (44 lb), with 18 DOF for the whole body and an NVIDIA Jetson installed. The price will start at ¥39,900 ($5,500).
1:11

Like clockwork, another Chinese humanoid drops. Beijing-based NOETIX Robotics has unveiled the N2, a 3'7" tall humanoid weighing 20 kg (44 lb), with 18 DOF for the whole body and an NVIDIA Jetson installed. The price will start at ¥39,900 ($5,500).

The Humanoid Hub

129,271 görüntüleme • 1 yıl önce

How can we build a general-purpose “foundation model” for robot motion? Zhengyi “Zen” Luo joins us to talk about SONIC, which uses motion tracking as a foundational task for humanoid robot control, and scales humanoid control training to 9k GPU hours and 100 million frames worth of data. The result: a model with a generally-useful embedding space that can be controlled by a VLA, or from human video, to perform a wide variety of humanoid whole-body-control tasks, including with zero-shot transfer to previously unseen motions. Watch episode 72 of RoboPapers, with Michael Cho - Rbt/Acc and Jiafei Duan, now!
59:44

How can we build a general-purpose “foundation model” for robot motion? Zhengyi “Zen” Luo joins us to talk about SONIC, which uses motion tracking as a foundational task for humanoid robot control, and scales humanoid control training to 9k GPU hours and 100 million frames worth of data. The result: a model with a generally-useful embedding space that can be controlled by a VLA, or from human video, to perform a wide variety of humanoid whole-body-control tasks, including with zero-shot transfer to previously unseen motions. Watch episode 72 of RoboPapers, with Michael Cho - Rbt/Acc and Jiafei Duan, now!

RoboPapers

24,757 görüntüleme • 1 ay önce

Control the humanoid robot without any wearable devices. Intern Robotics
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Control the humanoid robot without any wearable devices. Intern Robotics

Jingbo Wang

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