31 citations · 52 across the 6 of their papers we have counts for
6 papers
Helpful DoggyBot: Open-World Object Fetching using Legged Robots and Vision-Language Models
Qi Wu, Zipeng Fu, Xuxin Cheng +2
Learning-based methods have achieved strong performance for quadrupedal locomotion. However, several challenges prevent quadrupeds from learning helpful indoor skills that require…
UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers
Huy Ha, Yihuai Gao, Zipeng Fu +2
We introduce UMI-on-Legs, a new framework that combines real-world and simulation data for quadruped manipulation systems. We scale task-centric data collection in the real world u…
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs
Hao-Tien Lewis Chiang, Zhuo Xu, Zipeng Fu +19
An elusive goal in navigation research is to build an intelligent agent that can understand multimodal instructions including natural language and image, and perform useful navigat…
HumanPlus: Humanoid Shadowing and Imitation from Humans
Zipeng Fu, Qingqing Zhao, Qi Wu +2
One of the key arguments for building robots that have similar form factors to human beings is that we can leverage the massive human data for training. Yet, doing so has remained…
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Zipeng Fu, Tony Z. Zhao, Chelsea Finn
Imitation learning from human demonstrations has shown impressive performance in robotics. However, most results focus on table-top manipulation, lacking the mobility and dexterity…
Robot Parkour Learning
Ziwen Zhuang, Zipeng Fu, Jianren Wang +4
Parkour is a grand challenge for legged locomotion that requires robots to overcome various obstacles rapidly in complex environments. Existing methods can generate either diverse…