Yan Ding (丁琰)
KitRob  Sexbots 
a Ph.D. student, yding25@binghamton.edu
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  I coordinate the reading group, which hopes to broaden the research scope of students, especially in human-robot system, by discussing good new papers.
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» Presentations
» Master Disertation
  Mobile Trajectory Data: Map-matching, Compression and Their Implementation

News
February 2022 - My two invention patents have been granted! Click link1 and link2.

January 2022 - Our two grounded task and motion planning papers have been accepted in IEEE RA-L and ICRA, respectively!

June 2021 - Two papers have been accepted in ICCBR 2021, and ICAPS 2021 Hierarchical Planning Workshop, repspectively! The leading authors come from Ford Motor Company.

May 2021 - I passed my research proficiency examination (RPE), and now I am a Ph.D. Candidate! The committee members are Shiqi Zhang (advisor), Zhongfei (Mark) Zhang (IEEE Fellow), Patrick H. Madden, Ye Zhao (Georgia tech). The video can be found here (click it). The slide version is also provided (click it).

Previous News
April 2021 - A book named Enable Smart City with GPS Trajectory Data of my master supervisor, Chao Chen, has been published. It summarizes the research work during past 10 years. Sections 1, 2 and 5 are all my previous work.

Feb 2021 - I am a reviewer in IEEE IV 2021 and ICAPS 2021.

Oct 2020 - IROS accepted our paper named “Task-Motion Planning for Safe and Efficient Urban Driving”!

July 2020 - My master dissertation was honored with 2020 Chongqing Master Dissertation Award!

June 2020 - IEEE TVT accepted our paper named “DAVT:an error-bounded vehicle trajectory data representation and compression framework”!

 
About me
I'm a third-year Ph.D. candidate majoring in Computer Science and Research Assistant in State University of New York (SUNY) at Binghamton, USA. My research interest is Task and Motion Planning (TAMP): Intersection of Planning from Artificial Intelligence and Motion Planning from Robotics (including vehicles). I'm supervised by Assistant Professor Shiqi Zhang, and supported by grants from Ford Motor Company.

Education
  • Binghamton University (USA) | PhD in CS, Expected June 2023 | 3.9 GPA
  • Chongqing University (China) | MS in CS, June 2019 | 3.0 GPA
  • Chongqing University (China) | BS in ME, June 2016 | 3.2 GPA (Ranking %7)

Research

§ Safety-aware TAMP
 

Task-Motion Planning for Safe and Efficient Urban Driving
Yan Ding, Xiaohan Zhang, Xingyue Zhan, Shiqi Zhang
IEEE IROS, 2020
[Paper] [Project] [Code] [Demo] [Presentation]

Visually Grounded Task and Motion Planning with User Preferences for Urban Driving
Yan Ding, Cheng Cui, Xiaohan Zhang, Shiqi Zhang
Submitted to IEEE IROS, 2022
[Paper] [Project] [Video] [Code]

 
§ Grounding TAMP
 

Learning to Ground Objects for Robot Task and Motion Planning
Yan Ding, Xiaohan Zhang, Xingyue Zhan, Shiqi Zhang
IEEE RA-L, 2022
[Paper] [Project] [Code] [Demo] [Presentation]

 
§ Open-world TAMP
 

Task and Situation Structures for Case-Based Planning
Hao Yang, Tavan Eftekhar, Chad Esselink, Yan Ding, Shiqi Zhang
ICCBR, 2021
[Paper]

Task and Situation Structures for Service Agent Planning
Hao Yang, Tavan Eftekhar, Chad Esselink, Yan Ding, Shiqi Zhang
arXiv, 2021
[Paper]

 
§ Others (* equal contribution)
 

DAVT: an error-bounded vehicle trajectory data representation and compression framework
Yan Ding*, Chao Chen*, Suiming Guo, Yasha Wang
IEEE TVT, 2020
[Paper]

 

Copyright 2022 Yan Ding