Wanli Peng

I received the PhD degree in signal and information processing from the Dalian University of Technology (DLUT) , Dalian, China in 2024.

My research interests include 3D computer vision, Robotic manipulation and Robotic system engineering.

WeChat: pengwanli2820

Publications

GR-RL: Going Dexterous and Precise for Long-Horizon Robotic Manipulation

A robotic learning framework that turns a generalist vision-language-action (VLA) policy into a highly capable specialist for long-horizon dexterous manipulation..

Author List:Yunfei Li, Xiao Ma, Jiafeng Xu, Yu Cui, Zhongren Cui, Zhigang Han, Liqun Huang, Tao Kong, Yuxiao Liu, Hao Niu, Wanli Peng , Jingchao Qiao, Zeyu Ren, Haixin Shi, Zhi Su, Jiawen Tian, Yuyang Xiao, Shenyu Zhang, Liwei Zheng, Hang Li, Yonghui Wu
Bytedance Seed Robotics
Webpage  •   Paper    

GR-3 Technical Report

A Generalizable and Robust Vision-Language-Action (VLA) Model for Long-Horizon and Dexterous Tasks.

Author List: Chilam Cheang, Sijin Chen, Zhongren Cui, Yingdong Hu, Liqun Huang, Tao Kong, Hang Li, Yifeng Li, Yuxiao Liu, Xiao Ma, Hao Niu, Wenxuan Ou, Wanli Peng , Zeyu Ren, Haixin Shi, Jiawen Tian, Hongtao Wu, Xin Xiao, Yuyang Xiao, Jiafeng Xu, Yichu Yang
Bytedance Seed Robotics
Webpage  •   Paper    

Functional Grasp Transfer Across a Category of Objects From Only one Labeled Instance

We propose a category-level multi-fingered functional grasp transfer framework.

Rina Wu, Tianqiang Zhu, Wanli Peng , Jinglue Hang, Yi Sun*
RAL, 2023
Paper  •  

FunctionalGrasp: Learning Functional Grasp for Robots via Semantic Hand-Object Representation

A semantic representation of functional hand-object interaction is introduced without labeling 3D hand poses, and a novel coarse-to-fine grasp generation network is designed to model this hand-object interaction.

Yibiao Zhang,Jinglue Hang, Tianqiang Zhu, Xiangbo Lin*, Rina Wu, Wanli Peng , Dongying Tian, Yi Sun
RAL, 2023
Paper  •   Code

TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance

We propose TransGrasp, a category-level grasp pose estimation method that predicts grasp poses of a category of objects by labeling only one object instance.

Hongtao Wen, Jianhang Yan, Wanli Peng*, Yi Sun
ECCV, 2022
Webpage  •   Paper  •   Code

Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation

A self-supervised method for category-level 6D pose estimation, SSC-6D, which can predict unseen object poses without explicit pose annotations and exact 3D models in real scenarios for training.

Wanli Peng, Jianhang Yan, Hongtao Wen, Yi Sun*
AAAI, 2022
Webpage  •   Paper  •   Code

IDA-3D: Instance-Depth-Aware 3D Object Detection from Stereo Vision for Autonomous Driving

An end-to-end learning framework for 3D object detection based on stereo images in autonomous driving.

Wanli Peng, Hao Pan, He Liu, Yi Sun*
CVPR, 2020
Webpage  •   Paper  •   Code