PaperFlume
⌕
Accounts · soon

Library · Mobile manipulation

0:00

BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities

Yunfan Jiang, Ruohan Zhang, Josiah Wong, Chen Wang, Yanjie Ze, Hang Yin, Cem Gokmen, Shuran Song, Jiajun Wu, Li Fei-Fei

CoRL 2025 7:39 9 chapters CC BY 4.0 · adaptation, not endorsed by the authors Source checked · visual review incomplete

Download the deck .pptx Transcript .txt · cited Captions .vtt

Editable text and shapes, not pictures of slides.

Feedback

Was this worth your five minutes?

We are in beta. Tell us whether it helped — and if something is wrong, tell us that too.

Not rated
Goes to a person, not a form queue.
Next

Papers near this one.

Walkthroughs

7:37

Versatile Loco-Manipulation through Flexible Interlimb Coordination

shares Mobile manipulation
5:00

Learning a Unified Policy for Position and Force Control in Legged Loco-Manipulation

shares Mobile manipulation
5:41

Learning to Act Through Contact: A Unified View of Multi-Task Robot Learning

shares Mobile manipulation

Short cuts

0:54

Versatile Loco-Manipulation through Flexible Interlimb Coordination

shares Mobile manipulation
0:52

Learning a Unified Policy for Position and Force Control in Legged Loco-Manipulation

shares Mobile manipulation
0:55

Learning to Act Through Contact: A Unified View of Multi-Task Robot Learning

shares Mobile manipulation
Authors

Want one of these for your paper?

Send the PDF and we make the walkthrough, the deck and the reel. It stays private unless you publish it yourself.

Add your paper How it works
01

Something people finishFive minutes of method beats a PDF nobody opens past the abstract.

02

Slides for your next talkAn editable deck built from your own figures, with the narration in the notes.

03

A cut you can postFifty seconds, vertical, for the places a paper link gets ignored.

04

A page that can be foundA cited transcript sits on the page, so the words in your method are searchable.

Based on “BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities” by Yunfan Jiang, Ruohan Zhang, Josiah Wong, Chen Wang, Yanjie Ze, Hang Yin, Cem Gokmen, Shuran Song, Jiajun Wu, Li Fei-Fei · CoRL 2025 · CC BY 4.0 · licence checked 2026-10-25 · Changed from the original: rewritten as a narrated walkthrough with slides, using the paper's own figures. An adaptation, not endorsed by its authors.

Request takedown — we aim to answer within 72 hours.