Boshi An | 安博施

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Introduction

Currently, I am a master's student at EPFL and joining the Soft Robotics Lab at ETH as a research intern. I received honours degree (summa cum laude) from Turing class at the School of Computer Science, Peking University. At Peking University, I was mainly advised by Prof. Hao Dong on robotics learning. I also collaborated closely with Prof. Zongqing Lu on the spatial cognitive abilities of machine learning models.

profile photo
Research

I'm interested in reinforcement learning, robotics and computational neurology.




RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation

Boshi An*, Yiran Geng*, Kai Chen*, Xiaoqi Li, Qi Dou, Hao Dong
ArXiv / Project Page / Code
ICRA 2024

We achieved state-of-the-art manipulation performance by combining reinforcement learning and multi-view pose estimation.




Learning Multi-object Positional Relations via Emergent Communication

Yicheng Feng*, Boshi An*, Zongqing Lu
ArXiv / Project Page (Coming Soon) / Code (Coming Soon)
AAAI 2024 Oral

We investigated whether a compositional language for describing 2-D positional relation can emerge from communication under environmental pressure.




Bilateral Propagation Network for Depth Completion

Jie Tang, Fei-Peng Tian, Boshi An, Jian Li, Ping Tan
ArXiv / Project Demo / Code
CVPR 2024

We proposed an image-guided depth completion model which is SOTA on NYUv2 dataset and won the first place on KITTY benchmark at the time of submission.




End-to-End Affordance Learning for Robotic Manipulation

Yiran Geng*, Boshi An*, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong
ArXiv / Project Page / Code
ICRA 2023

In this study, we take advantage of visual affordance by using the contact information generated during the RL training process to predict contact maps of interest.





MyoChallenge: Die reorientation
Boshi An, Yiran Geng, Yifan Zhong, Jiaming Ji, Yuanpei Chen
Challenge Page / Code / Slides / Talk
First Place in NeurIPS 2022 Challenge Track (1st in 340 submissions from 40 teams)

Reconfiguring a die to match desired goal orientations. This task require delicate coordination of various muscles to manipulate the die without dropping it.

Preprints



ImageManip Image-based Robotic Manipulation with Affordance-guided Next View Selection

Xiaoqi Li, Yanzi Wang, Yan Zhao, Yaroslav Ponomarenko, Qianxu Wang, Haoran Lu, Boshi An, Jiaming Liu, Hao Dong
ArXiv / Project Page (Coming Soon) / Code (Coming Soon)

We propose a framework that utilizes only RGB inputs and enables 3D articulated object manipulation.

Experience
Turing Class, Peking University, China
2020.09 - 2024.07
Undergraduate Student, Summa cum laude
Research Advisor: Prof. Hao Dong
Adaptive Motor Control Lab, EPFL, Switzerland
2023.07 - 2023.08
Research Intern
Research Advisor: Prof. Alexander Mathis
University of Edinburgh, United Kingdom
2023.09 - 2023.12
Exchange Student


Selected Awards and Honors

  • 2024: Honours Degree in Science
  • 2024: Outstanding Graduates Prize (Peking University)
  • 2023: Distinguished Researcher Prize (Peking University)
  • 2022: First Place in NeurIPS 2022 Challenge Track 🏅
  • 2022: John Hopcroft Scholarship
  • 2020: Outstanding Freshman Scholarship
  • 2019: Chinese Olympiad in Informatics (NOI) Gold Medalist and National Training Team member 🏅

  • Misc

    I am a piano player interested in classical music, especially chamber music, you can find my recordings in my Bilibili page .


    This template is a modification to Jon Barron's website.