Xiaomeng Xu (@XiaomengXu11)

Pinned

X

Xiaomeng Xu@XiaomengXu11 · Jan 10

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. robopanoptes.github.io

11

63

330

128

73.0K

Xiaomeng Xu Retweeted

R

Russ Tedrake@RussTedrake · Jul 9

TRI's latest Large Behavior Model (LBM) paper landed on arxiv last night! Check out our project website: toyotaresearchinstitute.github.io/lbm1/ One of our main goals for this paper was to put out a very careful and thorough study on the topic to help people understand the state of the…

8

105

478

189

73.0K

Xiaomeng Xu Retweeted

Y

Yuxin Chen@ThomasYuxinChen · Jun 13

💡Can we let an arm-mounted quadrupedal robot to perform task with both arms and legs? Introducing ReLIC: Reinforcement Learning for Interlimb Coordination for versatile loco-manipulation in unstructured environments. [1/6] relic-locoman.rai-inst.com

18

50

250

70

105.0K

X

Xiaomeng Xu@XiaomengXu11 · Jul 2

Missed our RSS workshop? Our recordings are online: youtube.com/@hardware-awar…. All talks were awesome, and we had a very fun panel discussion session 🧐 Huge thanks to our organizers for all the hard work @haqhuy @XiaomengXu11 @s_zhanyi @ma_yuxiang @xiaolonw Mike Tolley

yyisha@yswhynot · Jun 21

Enjoying the first day of #RSS2025? Consider coming to our workshop 🤖Robot Hardware-Aware Intelligence on Wed! @RoboticsSciSys Thank you to everyone who contributed 🙌 We'll have 16 lightning talks and 11 live demos! More info: rss-hardware-intelligence.github.io

0

3

14

3

4.0K

Xiaomeng Xu Retweeted

S

Stanford AI Lab@StanfordAILab · Jun 30

Robot learning has largely focused on standard platforms—but can it embrace robots of all shapes and sizes? In @XiaomengXu11's latest blog post, we show how data-driven methods bring unconventional robots to life, enabling capabilities that traditional designs and control can't…

3

26

111

39

15.0K

X

Xiaomeng Xu@XiaomengXu11 · Jun 25

Happening right now at EEB 248!

yyisha@yswhynot · Jun 21

Enjoying the first day of #RSS2025? Consider coming to our workshop 🤖Robot Hardware-Aware Intelligence on Wed! @RoboticsSciSys Thank you to everyone who contributed 🙌 We'll have 16 lightning talks and 11 live demos! More info: rss-hardware-intelligence.github.io

0

2

15

2

2.0K

Xiaomeng Xu Retweeted

S

Stanford AI Lab@StanfordAILab · Jun 23

In Los Angeles for RSS 2025? 🤖 🌴Be sure to check out the great work by students from the Stanford AI Lab! ai.stanford.edu/blog/rss-2025/

2

20

6

7.0K

X

Xiaomeng Xu@XiaomengXu11 · Jun 22

I'll present RoboPanoptes at #RSS2025 tomorrow 6/22 🐍 Spotlight talk: 9:00-10:30am (Bovard Auditorium) Poster: 12:30-2:00pm, poster #31 (Associates Park)

XXiaomeng Xu@XiaomengXu11 · Jan 10

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. robopanoptes.github.io

0

15

106

23

9.0K

Xiaomeng Xu Retweeted

y

yisha@yswhynot · Jun 21

Enjoying the first day of #RSS2025? Consider coming to our workshop 🤖Robot Hardware-Aware Intelligence on Wed! @RoboticsSciSys Thank you to everyone who contributed 🙌 We'll have 16 lightning talks and 11 live demos! More info: rss-hardware-intelligence.github.io

1

7

31

3

9.0K

X

Xiaomeng Xu@XiaomengXu11 · Jun 19

Perception is inherently active. 🧠👀 With a flexible neck, our robot learns how humans adjust their viewpoint to search, track, and focus—unlocking more capable manipulation. Check out Vision in Action 👇

HHaoyu Xiong@Haoyu_Xiong_ · Jun 19

Your bimanual manipulators might need a Robot Neck 🤖🦒 Introducing Vision in Action: Learning Active Perception from Human Demonstrations ViA learns task-specific, active perceptual strategies—such as searching, tracking, and focusing—directly from human demos, enabling robust…

0

2

33

10

3.0K

X

Xiaomeng Xu@XiaomengXu11 · Jun 18

Steering diffusion policy at inference time with dynamics guidance!

MMaximilian Du@du_maximilian · Jun 18

Normally, changing robot policy behavior means changing its weights or relying on a goal-conditioned policy. What if there was another way? Check out DynaGuide, a novel policy steering approach that works on any pretrained diffusion policy. dynaguide.github.io 🧵

1

0

6

2

823

Xiaomeng Xu Retweeted

M

Mandi Zhao@ZhaoMandi · Jun 16

Our lab at Stanford usually do research in AI & robotics, but very occasionally we indulge in being functional alcoholics -- Recently we hosted a lab cocktail night, and created drinks with research-related puns like 'reviewer#2' and 'make 6 figures', sharing the full recipes…

9

13

272

77

26.0K

Xiaomeng Xu Retweeted

P

Priya Sundaresan@priyasun_ · Jun 9

How can we move beyond static-arm lab setups and learn robot policies in our messy homes? We introduce HoMeR, an imitation learning agent for in-the-wild mobile manipulation. 🧵1/8

6

54

234

128

28.0K

Xiaomeng Xu Retweeted

L

Lukas Ziegler@lukas_m_ziegler · Jun 7

It's a 3D printer, and 3D assembly station! 🖨️ The Functgraph developed at Meiji University starts as a regular 3D printer but upgrades itself into a mini factory. It can print parts for its own tools, pick them up, clean them, and put them together, all by itself. Think of it…

37

271

2.0K

638

149.0K

Xiaomeng Xu Retweeted

M

Mandi Zhao@ZhaoMandi · Jun 3

How to learn dexterous manipulation for any robot hand from a single human demonstration? Check out DexMachina, our new RL algorithm that learns long-horizon, bimanual dexterous policies for a variety of dexterous hands, articulated objects, and complex motions.

19

104

616

326

113.0K

X

Xiaomeng Xu@XiaomengXu11 · May 30

DexUMI exoskeleton makes YOUR hand move like the robot hand, so demonstrations you collect transfer directly to the robot. Zero retargeting! 🔥

MMengda Xu@mengdaxu__ · May 30

Can we collect robot dexterous hand data directly with human hand? Introducing DexUMI: 0 teleoperation and 0 re-targeting dexterous hand data collection system → autonomously complete precise, long-horizon and contact-rich tasks Project Page: dex-umi.github.io

1

0

14

1

1.0K

X

Xiaomeng Xu@XiaomengXu11 · May 19

This is so cool 🤯! Imagine pairing this robot hardware platform with generative hardware design (like the one from @XiaomengXu11 @haqhuy 👉 dgdm-robot.github.io), we can really get customized hardware for any object or task almost instantly.

hhara@_hrjp · May 18

ICRA2025で主著1件を発表します。形状と固さを比較的自由に変更出来るグリッパーを提案しました。ご興味ある方はぜひ。 Shunya Hara, Osamu Fukuda, Mitsuru Higashimori, “Juzu Type Gripper That Can Change Both Shape and Firmness”.

0

7

48

10

5.0K

Xiaomeng Xu Retweeted

C

Calvin Luo@calvinyluo · Apr 23

Internet-scale datasets of videos and natural language are a rich training source! But can they be used to facilitate novel downstream robotic behaviors across embodiments and environments? Our new #ICLR2025 paper, Adapt2Act, shows how.

1

9

83

35

12.0K

X

Xiaomeng Xu@XiaomengXu11 · Apr 18

RoboPanoptes is accepted to #RSS2025! Everything is open-sourced: github.com/real-stanford/…

XXiaomeng Xu@XiaomengXu11 · Jan 10

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. robopanoptes.github.io

0

3

50

14

4.0K

X

Xiaomeng Xu@XiaomengXu11 · Apr 11

We're hosting the #RSS2025 Robot Hardware-Aware Intelligence Workshop! Join us to explore how hardware design🦾 + learning🧠 unlock new robot capabilities. Submit your latest paper and demo! rss-hardware-intelligence.github.io

HHuy Ha@haqhuy · Apr 11

Excited to announce the 1st Workshop on Robot Hardware-Aware Intelligence @ #RSS2025 in LA! We’re bringing together interdisciplinary researchers exploring how to unify hardware design and intelligent algorithms in robotics! Full info: rss-hardware-intelligence.github.io @RoboticsSciSys

0

11

0

1.0K

Xiaomeng Xu Retweeted

H

Han Zhang@DoubleHan07 · Feb 12

Want a haptic force feedback glove? Meet DOGlove! 🖐✨ A precise, low-cost (~$600), open-source glove for dexterous manipulation. Teleoperate a dexterous hand to squeeze condensed milk on bread 🥪 or collect high-quality data for imitation learning. Check it out! 🎥👇…

5

33

180

83

22.0K