正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

RX1 Humanoid: - Opensource full human scale dual arm robot - <$1,000 - Teleoperation and pick & place objects buildspace nights & weekends

Lethic

13,125 subscribers

134,633 次观看 • 2 年前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

10 条评论

Hubert Thieblot 的头像

Hubert Thieblot2 年前

@_buildspace @_nightsweekends Are you going to IRL?

Lethic 的头像

Lethic2 年前

@_buildspace @_nightsweekends Not this time but I do travel to US from time to time. Will be in San Francisco this September 😃

sophie 的头像

sophie2 年前

@_buildspace @_nightsweekends this is sick

buildspace 的头像

buildspace2 年前

@_nightsweekends sooooooo sick

maricris bonzo 的头像

maricris bonzo2 年前

@_buildspace @_nightsweekends the first n&w s5 project to make me go, "holy shit." 👏

naklecha 的头像

naklecha2 年前

@_buildspace @_nightsweekends bruh

braeden hall 的头像

braeden hall2 年前

@_buildspace @_nightsweekends this is so fucking cool

Vedant Nair 的头像

Vedant Nair2 年前

@_buildspace @_nightsweekends this looks awesome. congrats dude, all the work you put in is really shining through on this

Farhaj Mayan 的头像

Farhaj Mayan2 年前

@_buildspace @_nightsweekends So based

Paulius 🏴‍☠️ 的头像

Paulius 🏴‍☠️2 年前

@_buildspace @_nightsweekends Total Chad

相关视频

buildspace anthem v1 • ty. buildspace nights & weekends

buildspace anthem v1 • ty. buildspace nights & weekends

Bronson 📍 sf, la, nash

11,841 次观看 • 3 年前

🤖 How can we scale up humanoid robot learning? Introducing 🌟VLK🌟: generating large-scale synthetic data with paired egocentric observations, text, and full-body G1 kinematics for learning humanoid loco-manipulation. No teleoperation needed! Website:

🤖 How can we scale up humanoid robot learning? Introducing 🌟VLK🌟: generating large-scale synthetic data with paired egocentric observations, text, and full-body G1 kinematics for learning humanoid loco-manipulation. No teleoperation needed! Website:

Jiaman Li

976,067 次观看 • 4 个月前

Autonomous Dual Arm Humanoid Robot Aeo is waiting for its new owners. #CES2023

Autonomous Dual Arm Humanoid Robot Aeo is waiting for its new owners. #CES2023

Interesting Engineering

14,546 次观看 • 3 年前

.buildspace nights & weekends built a toy version⚙️

.buildspace nights & weekends built a toy version⚙️

Ziya Momin

42,245 次观看 • 2 年前

The problem with humanoid teleoperation is that it is expensive and difficult to scale Enter NVIDIA's EgoScale: - A VLA model pretrained on thousands hours of egocentric human videos. - Mid-trained via 50 hours of human + 4 hours of robot "play" data for human-robot alignment. - Fine-tuned with very few examples of task-specific robot teleoperation (100 or fewer per task). - Successfully transfers across 5-finger (Sharpa) and 3-finger (Unitree G1) robot hands. - Performance scales predictably as data increases.

The problem with humanoid teleoperation is that it is expensive and difficult to scale Enter NVIDIA's EgoScale: - A VLA model pretrained on thousands hours of egocentric human videos. - Mid-trained via 50 hours of human + 4 hours of robot "play" data for human-robot alignment. - Fine-tuned with very few examples of task-specific robot teleoperation (100 or fewer per task). - Successfully transfers across 5-finger (Sharpa) and 3-finger (Unitree G1) robot hands. - Performance scales predictably as data increases.

The Humanoid Hub

44,991 次观看 • 8 个月前

Our current dual-arm setup for autonomous electronics assembly. The teleoperation controllers in front are used to teach the robots precise manipulation of small objects.

Our current dual-arm setup for autonomous electronics assembly. The teleoperation controllers in front are used to teach the robots precise manipulation of small objects.

Viktor Petrenko

867,045 次观看 • 3 个月前

here's my toy for update 2 homies, wyt? 👀 cc buildspace nights & weekends

here's my toy for update 2 homies, wyt? 👀 cc buildspace nights & weekends

Mattia

10,205 次观看 • 2 年前

🤖 Introducing H2O (Human2HumanOid): - 🧠 An RL-based human-to-humanoid real-time whole-body teleoperation framework - 💃 Scalable retargeting and training using large human motion dataset - 🎥 With just an RGB camera, everyone can teleoperate a full-sized humanoid to perform actions like pick and place, walking, kicking, boxing, etc - 💡Unleash the potential of humanoids with human cognitive skills and adaptability 🔗:

🤖 Introducing H2O (Human2HumanOid): - 🧠 An RL-based human-to-humanoid real-time whole-body teleoperation framework - 💃 Scalable retargeting and training using large human motion dataset - 🎥 With just an RGB camera, everyone can teleoperate a full-sized humanoid to perform actions like pick and place, walking, kicking, boxing, etc - 💡Unleash the potential of humanoids with human cognitive skills and adaptability 🔗:

Tairan He

97,008 次观看 • 2 年前

Boston Dynamics has released a new video showing its Atlas humanoid robot using hand-like grippers to pick up and drop objects.

Boston Dynamics has released a new video showing its Atlas humanoid robot using hand-like grippers to pick up and drop objects.

CNN

1,266,246 次观看 • 3 年前

Did Ryan Hoover mention Saga during today's talk? 🥹 buildspace nights & weekends Farza 🇵🇰🇺🇸

Did Ryan Hoover mention Saga during today's talk? 🥹 buildspace nights & weekends Farza 🇵🇰🇺🇸

Octavian Voss

14,176 次观看 • 3 年前

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.

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

1,297,094 次观看 • 9 个月前

Our New Open-Source Dual-Arm Robot MEVION has been accepted to IEEE Robotics and Automation Practice (RA-P)! MEVION is designed for powerful and high-speed teleoperation and imitation learning! Thread👇

Our New Open-Source Dual-Arm Robot MEVION has been accepted to IEEE Robotics and Automation Practice (RA-P)! MEVION is designed for powerful and high-speed teleoperation and imitation learning! Thread👇

Kento Kawaharazuka / 河原塚健人

48,650 次观看 • 3 个月前

🤔 Ever wondered if simulation-based animation/avatar learnings can be applied to real humanoid in real-time? 🤖 Introducing H2O (Human2HumanOid): - 🧠 An RL-based human-to-humanoid real-time whole-body teleoperation framework - 💃 Scalable retargeting and training using large human motion dataset - 🎥 With just an RGB camera, everyone can teleoperate a full-sized humanoid to perform actions like pick and place, walking, kicking, boxing, etc - 💡Unleash the potential of humanoids with human cognitive skills and adaptability 🔗: 📄: 🎬: H2O proposes: - A scalable retargeting framework for obtaining large-scale humanoid motion dataset, intelligently filtering out infeasible motion for the humanoid embodiment. - We train a full-body motion imitator (similar to PHC) and deploy to the real world zero-shot. - Using this framework, we enable real-time teleoperation of a humanoid via a human operator and webcam, performing skills such as pick and place, kicking, walking strollers, etc. Team: Tairan He Zhengyi “Zen” Luo Wenli Xiao @ COLM @ChongZitaZhang Kris Kitani Changliu Liu Guanya Shi

Zhengyi “Zen” Luo

47,358 次观看 • 2 年前

🤯I spent $50K on this design... hope it's worth week 1 nights & weekends buildspace

🤯I spent $50K on this design... hope it's worth week 1 nights & weekends buildspace

Raduan Al-Shedivat

13,083 次观看 • 3 年前

What happens when robot world models learn from human experience at scale? 🤔 DreamDojo from NVIDIA Research is a generalist robot world model pretrained on 44K hours of egocentric human videos and then post-trained on robot data to generalize across new objects and environments. After distillation, it runs at 10 FPS for live teleoperation, policy evaluation, and model-based planning. Read the ICML paper to learn more 📄

What happens when robot world models learn from human experience at scale? 🤔 DreamDojo from NVIDIA Research is a generalist robot world model pretrained on 44K hours of egocentric human videos and then post-trained on robot data to generalize across new objects and environments. After distillation, it runs at 10 FPS for live teleoperation, policy evaluation, and model-based planning. Read the ICML paper to learn more 📄

NVIDIA Robotics

23,580 次观看 • 4 个月前

Another humanoid robot at the construction site (POC) For large-scale construction areas with high tolerance for error, Unitree G1 humanoid handle broad-area tasks (via teleoperation), while skilled workers attend to the finishing details...

Another humanoid robot at the construction site (POC) For large-scale construction areas with high tolerance for error, Unitree G1 humanoid handle broad-area tasks (via teleoperation), while skilled workers attend to the finishing details...

CyberRobo

60,178 次观看 • 3 个月前

Over 100 contestants joined our #EmbodiedAIHackathon in Shenzhen! 🤖🔥 From single #robot arm pick & place to dual-arm manipulation, from handling rigid objects to soft textiles, teams pushed boundaries — evolving into long-horizon actions with stronger generalization. Next stop: Mountain View, Oct 25–26! Join the final demo presentation at 4 PM on Oct.26th 👇

Over 100 contestants joined our #EmbodiedAIHackathon in Shenzhen! 🤖🔥 From single #robot arm pick & place to dual-arm manipulation, from handling rigid objects to soft textiles, teams pushed boundaries — evolving into long-horizon actions with stronger generalization. Next stop: Mountain View, Oct 25–26! Join the final demo presentation at 4 PM on Oct.26th 👇

Seeed Studio

11,610 次观看 • 1 年前