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Can robots leverage their entire body to sense and interact with their environment, rather than just relying on a centralized camera and end-effector? Introducing RoboPanoptes, a robot system that achieves whole-body dexterity through whole-body vision.

77,202 просмотров • 1 год назад •via X (Twitter)

Комментарии: 15

Фото профиля Xiaomeng Xu✈️IROS
Xiaomeng Xu✈️IROS1 год назад

RoboPanoptes enables novel manipulation capabilities such as unboxing in narrow spaces, sweeping multiple or oversized objects, and stowing in cluttered environments, outperforming baselines in adaptability and efficiency.

Фото профиля Xiaomeng Xu✈️IROS
Xiaomeng Xu✈️IROS1 год назад

Whole-body dexterity allows the robot to utilize its entire body surface for manipulation, e.g., leveraging multiple contact points or navigating constrained spaces. Whole-body vision provides comprehensive observations of its environment and visual feedback of its own state.

Фото профиля Xiaomeng Xu✈️IROS
Xiaomeng Xu✈️IROS1 год назад

Whole-body dexterity and vision is enabled by 1) A modular hardware design that integrates distributed vision and actuation in a scalable and reconfigurable system.

Фото профиля Xiaomeng Xu✈️IROS
Xiaomeng Xu✈️IROS1 год назад

2) An intuitive demonstration interface that streamlines the acquisition of complex whole-body manipulation behaviors.

Фото профиля Xiaomeng Xu✈️IROS
Xiaomeng Xu✈️IROS1 год назад

3) A whole-body visuomotor policy that learns complex manipulation skills directly from human demonstrations, efficiently aggregating information from the camera system while maintaining resilience to sensor failures.

Фото профиля Xiaomeng Xu✈️IROS
Xiaomeng Xu✈️IROS1 год назад

I had a great time working with Dominik Bauer and @SongShuran on this project! Check out our paper: video: and website: for more details!

Фото профиля Chongkai Gao
Chongkai Gao1 год назад

Super cool work!

Фото профиля Miguel Antonio Zapata Gonzales-Linares de la Peña
Miguel Antonio Zapata Gonzales-Linares de la Peña1 год назад

Great work Xiaomeng. Great researchers from Stanford often come from Tsinghua University. Thank you for making it open source.

Фото профиля The AI Veteran
The AI Veteran1 год назад

Great thread!

Фото профиля underscore advait patel
underscore advait patel1 год назад

super cool! how complicated/expensive is this to build?

Фото профиля Xiaomeng Xu✈️IROS
Xiaomeng Xu✈️IROS1 год назад

@adv8p The system is low-cost and built with off-the-shelf and 3D printed components! Each camera only costs $6. We will open source all the hardware design and code soon!

Фото профиля Maxime Alvarez
Maxime Alvarez1 год назад

With such coverage of the field of view you must have quite a lot of overlapping which could be very useful for 3D reconstruction of the environment.

Фото профиля ζ Pedram ζ
ζ Pedram ζ1 год назад

sweet

Фото профиля pfung
pfung1 год назад

@XiaomengXu11 brilliant! I didn't see this in the github page, but how does multi-camera perform on simple grasp task where overhead also sees the object clearly? i assume multi-camera would be slightly better but curious.

Фото профиля Ho Lab
Ho Lab1 год назад

Great work! We also addressed whole-body tactile sensing here: Do you think your policy can be applied to our robot for contact-based control?

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