Overview
Background
Jen Jen Chung is an Associate Professor in Mechatronics within the School of Electrical Engineering and Computer Science at The University of Queensland. Her current research interests include perception, planning and learning for robotic mobile manipulation, algorithms for robot navigation through human crowds, informative path planning and adaptive sampling. Prior to working at UQ, Jen Jen was a Senior Researcher in the Autonomous Systems Lab (ASL) at ETH Zürich from 2018-2022 and was a Postdoctoral Scholar at Oregon State University researching multiagent learning methods from 2014-2017. She completed her Ph.D. on information-based exploration-exploitation strategies for autonomous soaring platforms at the Australian Centre for Field Robotics in the University of Sydney. She received her Ph.D. (2014) and B.E. (2010) from the University of Sydney.
Availability
- Associate Professor Jen Jen Chung is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Member, Institute of Electrical and Electronics Engineers, Institute of Electrical and Electronics Engineers
Works
Search Professor Jen Jen Chung’s works on UQ eSpace
2024
Conference Publication
Information gathering path planning with minimal environmental disruption
Strooper, Katherine, Lawrance, Nicholas, Bandyopadhyay, Tirthankar, Talbot, Fletcher, Fiamingo, Ross and Chung, Jen Jen (2024). Information gathering path planning with minimal environmental disruption. International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), Brisbane, Australia, 19-21 November 2024.
2024
Conference Publication
Reinforcement learning for active search and grasp in clutter
Pitcher, Thomas, Förster, Julian and Chung, Jen Jen (2024). Reinforcement learning for active search and grasp in clutter. 2024 International Conference on Intelligent Robots and Systems, Abu Dhabi, United Arab Emirates, 14-18 October 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros58592.2024.10801366
2024
Conference Publication
On learning scene-aware generative state abstractions for task-level mobile manipulation planning
Förster, Julian, Chung, Jen Jen, Ott, Lionel and Siegwart, Roland (2024). On learning scene-aware generative state abstractions for task-level mobile manipulation planning. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, United Arab Emirates, 14-18 October 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros58592.2024.10802285
2024
Conference Publication
NeuSurfEmb: a complete pipeline for dense correspondence-based 6D object pose estimation without CAD models
Milano, Francesco, Chung, Jen Jen, Blum, Hermann, Siegwart, Roland and Ott, Lionel (2024). NeuSurfEmb: a complete pipeline for dense correspondence-based 6D object pose estimation without CAD models. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, United Arab Emirates, 14-18 October 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros58592.2024.10801399
2024
Conference Publication
Watching the air rise: learning-based single-frame schlieren detection
Achermann, Florian, Haug, Julian Andreas, Zumsteg, Tobias, Lawrance, Nicholas, Chung, Jen Jen, Kolobov, Andrey and Siegwart, Roland (2024). Watching the air rise: learning-based single-frame schlieren detection. 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 13-17 May 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/icra57147.2024.10611416
2024
Journal Article
WindSeer: real-time volumetric wind prediction over complex terrain aboard a small uncrewed aerial vehicle
Achermann, Florian, Stastny, Thomas, Danciu, Bogdan, Kolobov, Andrey, Chung, Jen Jen, Siegwart, Roland and Lawrance, Nicholas (2024). WindSeer: real-time volumetric wind prediction over complex terrain aboard a small uncrewed aerial vehicle. Nature Communications, 15 (1) 3507, 1-17. doi: 10.1038/s41467-024-47778-4
2023
Conference Publication
Baking in the feature: accelerating volumetric segmentation by rendering feature maps
Blomqvist, Kenneth, Ott, Lionel, Chung, Jen Jen and Siegwart, Roland (2023). Baking in the feature: accelerating volumetric segmentation by rendering feature maps. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI United States, 1 - 5 October 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros55552.2023.10342071
2023
Conference Publication
Neural implicit vision-language feature fields
Blomqvist, Kenneth, Milano, Francesco, Chung, Jen Jen, Ott, Lionel and Siegwart, Roland (2023). Neural implicit vision-language feature fields. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI United States, 1 - 5 October 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros55552.2023.10342275
2023
Journal Article
Sampling-based path planning in highly dynamic and crowded pedestrian flow
Cai, Kuanqi, Chen, Weinan, Dugas, Daniel, Siegwart, Roland and Chung, Jen Jen (2023). Sampling-based path planning in highly dynamic and crowded pedestrian flow. IEEE Transactions on Intelligent Transportation Systems, 24 (12) 3292927, 14732-14742. doi: 10.1109/tits.2023.3292927
2023
Journal Article
Automatic extension of a symbolic mobile manipulation skill set
Förster, Julian, Ott, Lionel, Nieto, Juan, Lawrance, Nicholas, Siegwart, Roland and Chung, Jen Jen (2023). Automatic extension of a symbolic mobile manipulation skill set. Robotics and Autonomous Systems, 165 104428, 1-16. doi: 10.1016/j.robot.2023.104428
2023
Conference Publication
On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications
Iovino, Matteo, Förster, Julian, Falco, Pietro, Chung, Jen Jen, Siegwart, Roland and Smith, Christian (2023). On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications. 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 29 May - 2 June 2023. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icra48891.2023.10160972
2023
Conference Publication
NeRFing it: offline object segmentation through implicit modeling
Blomqvist, Kenneth, Chung, Jen Jen, Ott, Lionel and Siegwart, Roland (2023). NeRFing it: offline object segmentation through implicit modeling. IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 29 May - 2 June 2023. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icra48891.2023.10161040
2023
Conference Publication
Multi-agent path integral control for interaction-aware motion planning in urban canals
Streichenberg, Lucas, Trevisan, Elia, Chung, Jen Jen, Siegwart, Roland and Alonso-Mora, Javier (2023). Multi-agent path integral control for interaction-aware motion planning in urban canals. IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 29 May - 2 June 2023. Washington, DC, United States: IEEE. doi: 10.1109/icra48891.2023.10161511
2023
Conference Publication
Learning agent-aware affordances for closed-loop interaction with articulated objects
Schiavi, Giulio, Wulkop, Paula, Rizzi, Giuseppe, Ott, Lionel, Siegwart, Roland and Chung, Jen Jen (2023). Learning agent-aware affordances for closed-loop interaction with articulated objects. IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 29 May - 2 June 2023. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icra48891.2023.10160747
2023
Journal Article
Robust sampling-based control of mobile manipulators for interaction with articulated objects
Rizzi, Giuseppe, Chung, Jen Jen, Gawel, Abel, Ott, Lionel, Tognon, Marco and Siegwart, Roland (2023). Robust sampling-based control of mobile manipulators for interaction with articulated objects. IEEE Transactions on Robotics, 39 (3), 1-18. doi: 10.1109/tro.2022.3233343
2023
Book Chapter
It’s just semantics: how to get robots to understand the world the way we do
Chung, Jen Jen, Förster, Julian, Wulkop, Paula, Ott, Lionel, Lawrance, Nicholas and Siegwart, Roland (2023). It’s just semantics: how to get robots to understand the world the way we do. Robotics research. (pp. 3-10) edited by Aude Billard, Tamim Asfour and Oussama Khatib. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-25555-7_1
2022
Conference Publication
Semi-automatic 3D object keypoint annotation and detection for the masses
Blomqvist, Kenneth , Chung, Jen Jen , Ott, Lionel and Siegwart, Roland (2022). Semi-automatic 3D object keypoint annotation and detection for the masses. 2022 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 21-25 August 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/ICPR56361.2022.9956263
2022
Conference Publication
NavDreams: towards camera-only RL navigation among humans
Dugas, Daniel, Andersson, Olov, Siegwart, Roland and Chung, Jen Jen (2022). NavDreams: towards camera-only RL navigation among humans. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros47612.2022.9982045
2022
Conference Publication
FlowBot: flow-based modeling for robot navigation
Dugas, Daniel, Cai, Kuanqi, Andersson, Olov, Lawrance, Nicholas, Siegwart, Roland and Chung, Jen Jen (2022). FlowBot: flow-based modeling for robot navigation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros47612.2022.9981407
2022
Conference Publication
Closed-loop next-best-view planning for target-driven grasping
Breyer, Michel, Ott, Lionel, Siegwart, Roland and Chung, Jen Jen (2022). Closed-loop next-best-view planning for target-driven grasping. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros47612.2022.9981472
Funding
Current funding
Supervision
Availability
- Associate Professor Jen Jen Chung is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Adaptive Human-Robot Interaction for Unstructured, Dynamic Environments with Rich Physical Interactions
Principal Advisor
Other advisors: Dr Matthew D'Souza
Media
Enquiries
Contact Associate Professor Jen Jen Chung directly for media enquiries about:
- informative and adaptive planning
- multi-robot systems
- reinforcement learning
- robot crowd navigation
- robotic mobile manipulation
- robotic perception
- robotics
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