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![lukas_m_ziegler Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::1436009312078508034.png) Lukas Ziegler [@lukas_m_ziegler](/creator/twitter/lukas_m_ziegler) on x 10.4K followers
Created: 2025-07-03 14:49:28 UTC

Quadrupeds are fast. Agile. Great at locomotion.

But can they manipulate?

A new approach from Carnegie Mellon University, Google DeepMind, and Bosch is teaching quadrupedal robots to do more than walk, they’re learning to interact.

It’s called Human2LocoMan: a system that uses human data to pretrain robot policies before finetuning on real hardware. 

The result? A four-legged robot that can walk, carry, organize, scoop, and sort with both single and dual-arm control.

By pretraining on human motion, they cut the amount of robot data in half—while improving success rates by over XX% in unfamiliar environments.

Their Modularized Cross-Embodiment Transformer (MXT) learns from both human and robot demonstrations, then generalizes those skills to physical tasks—no hardcoded behaviors required.

It’s locomotion and manipulation.

A quadruped that can walk and clean up after itself?

![](https://pbs.twimg.com/amplify_video_thumb/1940784782566137856/img/HXNojVPcvUlcNQQW.jpg)

XXXXXX engagements

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**Related Topics**
[hardware](/topic/hardware)
[robot](/topic/robot)
[$boschltdbo](/topic/$boschltdbo)
[$googl](/topic/$googl)
[stocks communication services](/topic/stocks-communication-services)

[Post Link](https://x.com/lukas_m_ziegler/status/1940784965777543199)