Yifeng Zhu | DeepAI

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Featured Co-authors

Yue Wang
263 publications
Qiang Liu
190 publications
Bo Liu
167 publications
Peter Stone
126 publications
Rong Xiong
86 publications
Fabio Ramos
73 publications
Yuke Zhu
67 publications
Shiqi Zhang
45 publications
Stan Birchfield
42 publications
Luis Sentis
42 publications
Jonathan Tremblay
31 publications

∙ 07/21/2023

Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning

In existing task and motion planning (TAMP) research, it is a common ass...

0 Xiaohan Zhang, et al. ∙

∙ 06/05/2023

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Lifelong learning offers a promising paradigm of building a generalist a...

0 Bo Liu, et al. ∙

∙ 02/24/2023

A Joint Modeling of Vision-Language-Action for Target-oriented Grasping in Clutter

We focus on the task of language-conditioned grasping in clutter, in whi...

0 Kechun Xu, et al. ∙

∙ 10/20/2022

VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors

We introduce VIOLA, an object-centric imitation learning approach to lea...

0 Yifeng Zhu, et al. ∙

∙ 09/19/2022

Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments

We tackle the problem of perceptive locomotion in dynamic environments. ...

0 Mingyo Seo, et al. ∙

∙ 02/22/2022

Visually Grounded Task and Motion Planning for Mobile Manipulation

Task and motion planning (TAMP) algorithms aim to help robots achieve ta...

0 Xiaohan Zhang, et al. ∙

∙ 09/28/2021

Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation

We tackle real-world long-horizon robot manipulation tasks through skill...

1 Yifeng Zhu, et al. ∙

∙ 12/14/2020

Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs

We present a visually grounded hierarchical planning algorithm for long-...

0 Yifeng Zhu, et al. ∙

∙ 11/16/2020

Fast Uncertainty Quantification for Deep Object Pose Estimation

Deep learning-based object pose estimators are often unreliable and over...

0 Guanya Shi, et al. ∙

∙ 10/29/2020

Human versus Machine Attention in Deep Reinforcement Learning Tasks

Deep reinforcement learning (RL) algorithms are powerful tools for solvi...

65 Ruohan Zhang, et al. ∙

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