Brain 🧠 and Brawn 🦾
1st Workshop on Robot Hardware-Aware Intelligence

RSS 2025, Los Angeles, California | Wednesday, June 25th, 2025

📹 YouTube Channel

rss.hardware.intelligence@gmail.com

Overview

Advances in artificial intelligence and robotics have increasingly relied on better algorithms or larger datasets while often overlooking the critical role of hardware. In this workshop, we aim to addresses the wide gap between mechanical engineers, who design complex and innovative hardware, and computer scientists, who develop intelligent software for simplified or standard platforms. Bridging this divide is essential for creating integrated, intelligent systems that fully exploit the potential of both fields. By bringing together researchers from robotics, machine learning, and mechanical engineering, in this workshop we aims to foster interdisciplinary collaboration, present cutting-edge research, and propose new methodologies for unifying hardware and intelligence in robotics.

🏆 Awards

🎓 Best Workshop Paper Award 🎓
AnySkin: Plug-and-play Skin Sensing for Robotic Touch

🤖 Best Workshop Demo Award 🤖
Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper

Areas of Interest

We invite contributions and discussions on topics related to hardware-aware intelligence, including:

Invited Speakers

Andrew Beaulieu Andrew Beaulieu

Toyota Research Institute

Robert Katzschmann Robert Katzschmann

ETH Zürich

Shuran Song Shuran Song

Stanford University

Tao Du Tao Du

Tsinghua University

Yiyue Luo Yiyue Luo

University of Washington

Quan Vuong

Physical Intelligence (π)

Tentative Schedule

8:45 AM - 9:00 AM Opening Remarks
9:00 AM - 9:30 AM Invited Talk: Tao Du (Recording)
9:30 AM - 10:00 AM Invited Talk: Shuran Song (Recording)
10:00 AM - 10:30 AM Poster Lightning Talks (3 min each) (Recording)
10:30 AM - 11:00 AM Coffee Break, Poster Session, and Hardware Demos
Posters of all presented papers and the following hardware demos:
11:00 AM - 11:30 AM Invited Talk: Robert Katzschmann (Recording)
11:30 AM - 12:00 PM Invited Talk: Ted Adelson (Recording)
12:00 PM - 12:30 PM Invited Talk: Quan Vuong (Recording)
12:30 PM - 14:00 PM Lunch Break
14:00 PM - 14:30 PM Invited Talk: Yiyue Luo (Recording)
14:30 PM - 15:00 PM Invited Talk: Andrew Beaulieu (Recording)
15:00 PM - 15:30 PM Panel Discussion
Panelists: Yiyue Luo, Quan Vuong, Michael Tolley, Andrew Beaulieu
(Recording)
15:30 PM - 16:00 PM Poster Lightning Talks (3 min each) (Recording)
16:00 PM - 16:45 PM Coffee Break, Poster Session, and Hardware Demos
Posters of all presented papers and the following hardware demos:
16:45 PM - 17:00 PM Closing Remarks & Awards

Call for Papers and Demos

We invite both paper submissions and hardware demo submissions. Submissions should follow the guidelines below:

  • Paper Submissions (Poster Presentation + Selected Lightning Talks):

    We invite 4–8 page papers in the RSS 2025 paper format. Submissions will be single-blind. All accepted papers will be presented as posters during the workshop. A subset of papers will be selected for 3-minute spotlight talks. References and supplementary materials are not counted towards the page limit.

    Submission Link: OpenReview submission

  • Hardware Demo Submissions:

    We encourage the submission of hardware demonstrations, which will be presented interactively at the workshop to foster hands-on engagement with attendees. Submissions will be single-blind and must include:

    • A short paragraph describing the system
    • A description of how attendees will interact with the system
    • Multimedia (e.g., video or images) showcasing the system in action
    • A list of resources required (e.g., space, internet, electrical outlets, etc.)

    No camera-ready version is required. Commercial sales and marketing activities from companies are allowed.

    Submission Link: Hardware Demo Submission Form

Organizing Committee

Huy Ha huyha@stanford.edu Stanford University
Zhanyi Sun zhanyis@stanford.edu Stanford University
Xiaomeng Xu xuxm@stanford.edu Stanford University
Yuxiang Ma yxma20@mit.edu MIT
Sha Yi shayi@ucsd.edu UCSD
Mike Tolley tolley@ucsd.edu UCSD
Xiaolong Wang xiw012@ucsd.edu UCSD