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ORCIDYuqian Jiang
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2020 – today
- 2024
[i14]Shivin Dass, Wensi Ai, Yuqian Jiang, Samik Singh, Jiaheng Hu, Ruohan Zhang, Peter Stone, Ben Abbatematteo, Roberto Martín-Martín:
TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation. CoRR abs/2403.07869 (2024)- 2023
- [c12]Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yuqian Jiang, Bo Liu, Peter Stone:
Model-Based Meta Automatic Curriculum Learning. CoLLAs 2023: 846-860 - [c11]Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuqian Jiang, Yuke Zhu, Peter Stone, Shiqi Zhang:
Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning. IROS 2023: 866-872 - [i13]Yuqian Jiang, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme:
Language-Informed Transfer Learning for Embodied Household Activities. CoRR abs/2301.05318 (2023) - [i12]Bo Liu, Yuqian Jiang, Xiaohan Zhang, Qiang Liu, Shiqi Zhang, Joydeep Biswas, Peter Stone:
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency. CoRR abs/2304.11477 (2023) - [i11]Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuqian Jiang, Yuke Zhu, Peter Stone, Shiqi Zhang:
Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning. CoRR abs/2307.11889 (2023) - 2022
- [c10]Reza Nouri, Yuqian Jiang
, Anthony J. Politza, Xiaojun Lance Lian, Weihua Guan:
Digital CRISPR-based quantification of HIV-1. IEEE SENSORS 2022: 1-4 - 2021
- [c9]Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone:
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks. AAAI 2021: 7995-8003 - [c8]Yuqian Jiang:
Planning and Reinforcement Learning for General-Purpose Service Robots. IJCAI 2021: 4895-4896 - 2020
- [j3]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog. J. Artif. Intell. Res. 67: 327-374 (2020) - [c7]Rishi Shah, Yuqian Jiang, Justin W. Hart, Peter Stone:
Deep R-Learning for Continual Area Sweeping. IROS 2020: 5542-5547 - [i10]Rishi Shah, Yuqian Jiang, Justin W. Hart, Peter Stone:
Deep R-Learning for Continual Area Sweeping. CoRR abs/2006.00589 (2020) - [i9]Yuqian Jiang, Sudarshanan Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone:
Temporal-Logic-Based Reward Shaping for Continuing Learning Tasks. CoRR abs/2007.01498 (2020)
2010 – 2019
- 2019
- [j2]Yuqian Jiang, Harel Yedidsion, Shiqi Zhang, Guni Sharon, Peter Stone:
Multi-robot planning with conflicts and synergies. Auton. Robots 43(8): 2011-2032 (2019) - [j1]Yuqian Jiang, Shiqi Zhang, Piyush Khandelwal, Peter Stone:
Task planning in robotics: an empirical comparison of PDDL- and ASP-based systems. Frontiers Inf. Technol. Electron. Eng. 20(3): 363-373 (2019) - [c6]Yuqian Jiang, Nick Walker, Justin W. Hart, Peter Stone:
Open-World Reasoning for Service Robots. ICAPS 2019: 725-733 - [c5]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Improving Grounded Natural Language Understanding through Human-Robot Dialog. ICRA 2019: 6934-6941 - [c4]Yuqian Jiang, Fangkai Yang, Shiqi Zhang, Peter Stone:
Task-Motion Planning with Reinforcement Learning for Adaptable Mobile Service Robots. IROS 2019: 7529-7534 - [i8]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Improving Grounded Natural Language Understanding through Human-Robot Dialog. CoRR abs/1903.00122 (2019) - [i7]Nick Walker, Yuqian Jiang, Maya Cakmak, Peter Stone:
Desiderata for Planning Systems in General-Purpose Service Robots. CoRR abs/1907.02300 (2019) - [i6]Rishi Shah, Yuqian Jiang, Haresh Karnan, Gilberto Briscoe-Martinez, Dominick Mulder, Ryan Gupta, Rachel Schlossman, Marika Murphy, Justin W. Hart, Luis Sentis, Peter Stone:
Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report. CoRR abs/1909.06529 (2019) - 2018
- [i5]Yuqian Jiang, Shiqi Zhang, Piyush Khandelwal, Peter Stone:
An Empirical Comparison of PDDL-based and ASP-based Task Planners. CoRR abs/1804.08229 (2018) - [i4]Minkyu Kim, Miguel Arduengo, Nick Walker, Yuqian Jiang, Justin W. Hart, Peter Stone, Luis Sentis:
An Architecture for Person-Following using Active Target Search. CoRR abs/1809.08793 (2018) - [i3]Justin W. Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond J. Mooney, Peter Stone:
Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence. CoRR abs/1810.02919 (2018) - [i2]Yuqian Jiang, Nick Walker, Minkyu Kim, Nicolas Brissonneau, Daniel S. Brown, Justin W. Hart, Scott Niekum, Luis Sentis, Peter Stone:
LAAIR: A Layered Architecture for Autonomous Interactive Robots. CoRR abs/1811.03563 (2018) - [i1]Yuqian Jiang, Fangkai Yang, Shiqi Zhang, Peter Stone:
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots. CoRR abs/1811.08955 (2018) - 2017
- [c3]Shiqi Zhang, Yuqian Jiang, Guni Sharon, Peter Stone:
Multirobot Symbolic Planning under Temporal Uncertainty. AAMAS 2017: 501-510 - 2011
- [c2]Xuesong Wang, Jinglin Zhu, Huaizhong Lin, Xiaoming Su, Yuqian Jiang:
Modeling Propagation of Active P2P Worm in Chord Network. ICFCE 2011: 389-396 - [c1]Yuqian Jiang, Huaizhong Lin, Xuesong Wang, Dongming Lu:
A Technique for Improving the Performance of Naive Bayes Text Classification. WISM (2) 2011: 196-203
Coauthor Index
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