Ran Jing's Homepage

Hi there! I am glad that you are visiting my personal website!

I am a third-year PhD student in Mechanical Engineering at Boston University, where I work as a member of Soft Robotics Control (SRC) Lab and BU Robotics Laboratory . I am fortunate to be advised by Professor Andrew Sabelhaus. Before moving to BU, I obtained a B.Eng in Control Science and Engineering at Shandong University, China and an M.S. in Robotics Engineering at Worcester Polytechnic Institute.

My research focus pertains to soft robot modelling, learning and control. More specifically, I am passionate about devising data-driven methods, learning approaches and other advanced control technics to facilitate the safe interaction of soft robots with humans and their external environment.

Hope you enjoy my work! Please feel free to reach out if you are interested in my research or potential collaboration.

news

Jan 22, 2024	One paper on a fast and precise soft robot simulator (DisMech) was accepted by IEEE Robotics and Automation Letter (RAL).
Jan 18, 2024	Our paper on shape memory alloy-based soft robot fatigue analysis was accepted by IEEE RoboSoft 2024.
Oct 02, 2023	I presented our recent work on safe balancing control for legged robots on IROS 2023 as a late breaking result.
May 19, 2023	Our paper on soft robot pose estimation model was accepted by ASME SMASIS 2023.
Oct 08, 2022	I presented our recent work on safety supervisory control for soft robots on Northeast Robotics Colloquium (NERC) 2022.

selected publications

DisMech: A Discrete Differential Geometry-based Physical Simulator for Soft Robots and Structures

Andrew Choi , Ran Jing , Andrew Sabelhaus , and 1 more author

IEEE Robotics and Automation Letter (RAL), 2024

Bib PDF Code Website

@article{choi2023dismech,
  title = {DisMech: A Discrete Differential Geometry-based Physical Simulator for Soft Robots and Structures},
  author = {Choi, Andrew and Jing, Ran and Sabelhaus, Andrew and Jawed, Mohammad Khalid},
  journal = {IEEE Robotics and Automation Letter (RAL)},
  year = {2024},
}

Maximizing Consistent Force Output for Shape Memory Alloy Artificial Muscles in Soft Robots

Meredith L. Anderson , Ran Jing , Juan C Pacheco Garcia , and 4 more authors

IEEE International Conference on Soft Robotics (RoboSoft), 2024

Bib PDF

@article{anderson2024maximizing,
  title = {Maximizing Consistent Force Output for Shape Memory Alloy Artificial Muscles in Soft Robots},
  author = {Anderson, Meredith L. and Jing, Ran and Pacheco Garcia, Juan C and Yang, Ilyoung and Alizadeh-Shabdiz, Sarah and DeLorey, Charles and Sabelhaus, Andrew P},
  journal = {IEEE International Conference on Soft Robotics (RoboSoft)},
  year = {2024},
}

A comparison of mechanics simplifications in pose estimation for thermally-actuated soft robot limbs

Juan C Pacheco Garcia , Ran Jing , Meredith L Anderson , and 2 more authors

In ASME Smart Materials, Adaptive Structures and Intelligent Systems(SMASIS) , 2023

Bib

@inproceedings{pacheco2023comparison,
  title = {A comparison of mechanics simplifications in pose estimation for thermally-actuated soft robot limbs},
  author = {Pacheco Garcia, Juan C and Jing, Ran and Anderson, Meredith L and Ianus-Valdivia, Miguel and Sabelhaus, Andrew P},
  booktitle = {ASME Smart Materials, Adaptive Structures and Intelligent Systems(SMASIS)},
  volume = {87523},
  pages = {V001T03A004},
  year = {2023},
  organization = {American Society of Mechanical Engineers},
}

Safe Balancing Control of a Soft Legged Robot

Ran Jing , Meredith L Anderson , Miguel Ianus-Valdivia , and 3 more authors

arXiv preprint arXiv:2209.13715, 2022

Bib PDF

@article{jing2022safe,
  title = {Safe Balancing Control of a Soft Legged Robot},
  author = {Jing, Ran and Anderson, Meredith L and Ianus-Valdivia, Miguel and Ali, Amsal Akber and Majidi, Carmel and Sabelhaus, Andrew P},
  journal = {arXiv preprint arXiv:2209.13715},
  year = {2022},
}

Predictive Optimal Control with Data-Based Disturbance Scenario Tree Approximation

Ran Jing , and Xiangrui Zeng

In American Control Conference (ACC) , 2021

Bib PDF

@inproceedings{jing2021predictive,
  title = {Predictive Optimal Control with Data-Based Disturbance Scenario Tree Approximation},
  author = {Jing, Ran and Zeng, Xiangrui},
  booktitle = {American Control Conference (ACC)},
  pages = {992--997},
  year = {2021},
  organization = {IEEE},
}