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
2026
Conference Publication
Quantization of DRL models for embedded microcontrollers
Bohm, Peter, Pounds, Pauline, Moghadam, Peyman, Chapman, Archie and Chung, Jen Jen (2026). Quantization of DRL models for embedded microcontrollers. 2026 IEEE International Conference on Robotics and Automation (ICRA), Vienna, Austria, 1-5 June 2026.
2026
Conference Publication
Redefining integrity in the context of generative artificial intelligence in higher education: what are students saying?
Slade, Christine, Matthews, Kelly, Chung, Jen, Liang, Yifei and Oberg, G. (2026). Redefining integrity in the context of generative artificial intelligence in higher education: what are students saying?. HERDSA QLD Annual Professional Development Day, Brisbane, QLD, Australia, 20 March 2026. Brisbane, QLD, Australia: HERDSA QLD.
2025
Journal Article
Comparison between Behavior Trees and Finite State Machines
Iovino, Matteo, Förster, Julian, Falco, Pietro, Chung, Jen Jen, Siegwart, Roland and Smith, Christian (2025). Comparison between Behavior Trees and Finite State Machines. IEEE Transactions on Automation Science and Engineering, 22, 21098-21117. doi: 10.1109/tase.2025.3610090
2025
Conference Publication
DexGrip: multi-modal soft gripper with dexterous grasping and in-hand manipulation capacity
Wang, Xing, Horrigan, Liam, Pinskier, Josh, Shi, Ge, Viswanathan, Vinoth, Liow, Lois, Bandyopadhyay, Tirthankar, Chung, Jen Jen and Howard, David (2025). DexGrip: multi-modal soft gripper with dexterous grasping and in-hand manipulation capacity. 8th International Conference on Soft Robotics-ROBOSOFT-Annual, Lausanne, Switzerland, 22-26 April 2025. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/RoboSoft63089.2025.11020871
2025
Conference Publication
SoGraB: a visual method for soft grasping benchmarking and evaluation
Greenland, Benjamin G., Pinskier, Josh, Wang, Xing, Nguyen, Daniel, Shi, Ge, Bandyopadhyay, Tirthankar, Chung, Jen Jen and Howard, David (2025). SoGraB: a visual method for soft grasping benchmarking and evaluation. 8th International Conference on Soft Robotics-ROBOSOFT-Annual, Lausanne, Switzerland, 22-26 April 2025. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/RoboSoft63089.2025.11020918
2025
Conference Publication
Mechanical sonar scanning strategies for fast underwater obstacle detection on an autonomous surface vessel
Luck, Lewis, Burgess-Limerick, Ben and Chung, Jen Jen (2025). Mechanical sonar scanning strategies for fast underwater obstacle detection on an autonomous surface vessel. 2025 OCEANS: Annual, Brest, France, 16-19 June 2025. New York, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/OCEANS58557.2025.11104761
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
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
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
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
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
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
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
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
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
Supervision
Availability
- Associate Professor Jen Jen Chung is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose 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 Yadan Luo
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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