# Shared Object Manipulation with a Team of Collaborative Quadrupeds

arXiv: https://arxiv.org/abs/2510.00682 · HTML: https://mlsanity.com/paper/2510.00682/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Oct 2025.

## Built on by (most cited first, 1 of 1)

- [Learning Multi-Humanoid Pickup and Transport via Decentralized Object-Centric Control](https://mlsanity.com/paper/2609.17824/) (2026)

## Abstract (arXiv)

Utilizing teams of multiple robots is advantageous for handling bulky objects. Many related works focus on multi-manipulator systems, which are limited by workspace constraints. In this paper, we extend a classical hybrid motion-force controller to a team of legged manipulator systems, enabling collaborative loco-manipulation of rigid objects with a force-closed grasp. Our novel approach allows the robots to flexibly coordinate their movements, achieving efficient and stable object co-manipulation and transport, validated through extensive simulations and real-world experiments.