activity
20192024
most citedLearning Actions from Human Demonstration Video for Robotic Manipulation

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2024

Learning Instruction-Guided Manipulation Affordance via Large Models for Embodied Robotic Tasks

Dayou Li, Chenkun Zhao, Shuo Yang +3

We study the task of language instruction-guided robotic manipulation, in which an embodied robot is supposed to manipulate the target objects based on the language instructions. I…

cs.RO2024

Integrating Controllable Motion Skills from Demonstrations

Honghao Liao, Zhiheng Li, Ziyu Meng +3

The expanding applications of legged robots require their mastery of versatile motion skills. Correspondingly, researchers must address the challenge of integrating multiple divers…

cs.RO2023

Nowhere to Go: Benchmarking Multi-robot Collaboration in Target Trapping Environment

Hao Zhang, Jiaming Chen, Jiyu Cheng +3

Collaboration is one of the most important factors in multi-robot systems. Considering certain real-world applications and to further promote its development, we propose a new benc…

cs.RO2022

Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation

Shikuan Xie, Ran Song, Yuenan Zhao +3

In this paper, we present the Circular Accessible Depth (CAD), a robust traversability representation for an unmanned ground vehicle (UGV) to learn traversability in various scenar…

cs.CV2022

Provably Uncertainty-Guided Universal Domain Adaptation

Yifan Wang, Lin Zhang, Ran Song +3

Universal domain adaptation (UniDA) aims to transfer the knowledge from a labeled source domain to an unlabeled target domain without any assumptions of the label sets, which requi…

cs.CV2020

Learn by Observation: Imitation Learning for Drone Patrolling from Videos of A Human Navigator

Yue Fan, Shilei Chu, Wei Zhang +2

We present an imitation learning method for autonomous drone patrolling based only on raw videos. Different from previous methods, we propose to let the drone learn patrolling in t…

cs.CV2019★ 2 cited

Learning Actions from Human Demonstration Video for Robotic Manipulation

Shuo Yang, Wei Zhang, Weizhi Lu +2

Learning actions from human demonstration is an emerging trend for designing intelligent robotic systems, which can be referred as video to command. The performance of such approac…