352 citations · 416 across the 8 of their papers we have counts for
8 papers
Gated Memory Policy: In-Context Memorization and Adaptation
Yihuai Gao, Jeff Jinyun Liu, Shuang Li +1
Robotic manipulation tasks exhibit varying memory requirements, ranging from Markovian tasks that require no memory to non-Markovian tasks that demand in-context memorization of hi…
PoseFusion: Robust Object-in-Hand Pose Estimation with SelectLSTM
Yuyang Tu, Junnan Jiang, Shuang Li +3
Accurate estimation of the relative pose between an object and a robot hand is critical for many manipulation tasks. However, most of the existing object-in-hand pose datasets use…
Learning compliant grasping and manipulation by teleoperation with adaptive force control
Chao Zeng, Shuang Li, Yiming Jiang +4
In this work, we focus on improving the robot's dexterous capability by exploiting visual sensing and adaptive force control. TeachNet, a vision-based teleoperation learning framew…
A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU
Shuang Li, Jiaxi Jiang, Philipp Ruppel +5
In this paper, we present a multimodal mobile teleoperation system that consists of a novel vision-based hand pose regression network (Transteleop) and an IMU-based arm tracking me…
Robust Robotic Pouring using Audition and Haptics
Hongzhuo Liang, Chuangchuang Zhou, Shuang Li +6
Robust and accurate estimation of liquid height lies as an essential part of pouring tasks for service robots. However, vision-based methods often fail in occluded conditions while…
Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring
Hongzhuo Liang, Shuang Li, Xiaojian Ma +4
In this paper, we focus on the challenging perception problem in robotic pouring. Most of the existing approaches either leverage visual or haptic information. However, these techn…
Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network
Shuang Li, Xiaojian Ma, Hongzhuo Liang +5
In this paper, we present TeachNet, a novel neural network architecture for intuitive and markerless vision-based teleoperation of dexterous robotic hands. Robot joint angles are d…
PointNetGPD: Detecting Grasp Configurations from Point Sets
Hongzhuo Liang, Xiaojian Ma, Shuang Li +5
In this paper, we propose an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud. Compared t…