activity
20202024
most citedExploring Visual Pre-training for Robot Manipulation: Datasets, Models and Methods

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2024

Smooth Computation without Input Delay: Robust Tube-Based Model Predictive Control for Robot Manipulator Planning

Yu Luo, Qie Sima, Tianying Ji +3

Model Predictive Control (MPC) has exhibited remarkable capabilities in optimizing objectives and meeting constraints. However, the substantial computational burden associated with…

cs.RO2023

MOMA-Force: Visual-Force Imitation for Real-World Mobile Manipulation

Taozheng Yang, Ya Jing, Hongtao Wu +5

In this paper, we present a novel method for mobile manipulators to perform multiple contact-rich manipulation tasks. While learning-based methods have the potential to generate ac…

cs.RO2023★ 1 cited

Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and Methods

Ya Jing, Xuelin Zhu, Xingbin Liu +4

Visual pre-training with large-scale real-world data has made great progress in recent years, showing great potential in robot learning with pixel observations. However, the recipe…

cs.RO2022

Embodied Referring Expression for Manipulation Question Answering in Interactive Environment

Qie Sima, Sinan Tan, Huaping Liu

Embodied agents are expected to perform more complicated tasks in an interactive environment, with the progress of Embodied AI in recent years. Existing embodied tasks including Em…

cs.RO2022★ 1 cited

Scene Graph for Embodied Exploration in Cluttered Scenario

Yuhong Deng, Qie Sima, Di Guo +3

The ability to handle objects in cluttered environment has been long anticipated by robotic community. However, most of works merely focus on manipulation instead of rendering hidd…

cs.RO2020

Simultaneous Trajectory Optimization and Force Control with Soft Contact Mechanics

Lasitha Wijayarathne, Qie Sima, Ziyi Zhou +2

Force modulation of robotic manipulators has been extensively studied for several decades but is not yet commonly used in safety-critical applications due to a lack of accurate int…