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
2022
Journal Article
Probabilistic network topology prediction for active planning: an adaptive algorithm and application
Zhang, Liang, Zhang, Zexu, Siegwart, Roland and Chung, Jen Jen (2022). Probabilistic network topology prediction for active planning: an adaptive algorithm and application. IEEE Transactions on Robotics, 39 (1), 1-18. doi: 10.1109/tro.2022.3189223
2022
Journal Article
Under the sand: navigation and localization of a micro aerial vehicle for landmine detection with ground-penetrating synthetic aperture radar
Bähnemann, Rik, Lawrance, Nicholas, Streichenberg, Lucas, Chung, Jen Jen, Pantic, Michael, Grathwohl, Alexander, Waldschmidt, Christian and Siegwart, Roland (2022). Under the sand: navigation and localization of a micro aerial vehicle for landmine detection with ground-penetrating synthetic aperture radar. Field Robotics, 2 (1), 1028-1067. doi: 10.55417/fr.2022034
2021
Journal Article
Distributed PDOP coverage control: providing large-scale positioning service using a multi-robot system
Zhang, Liang, Zhang, Zexu, Siegwart, Roland and Chung, Jen Jen (2021). Distributed PDOP coverage control: providing large-scale positioning service using a multi-robot system. IEEE Robotics and Automation Letters, 6 (2) 9354896, 2217-2224. doi: 10.1109/lra.2021.3059625
2021
Conference Publication
IAN: multi-behavior navigation planning for robots in real, crowded environments
Dugas, Daniel, Nieto, Juan, Siegwart, Roland and Chung, Jen Jen (2021). IAN: multi-behavior navigation planning for robots in real, crowded environments. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV USA, Oct 24-Jan 24, 2020-2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros45743.2020.9341457
2021
Conference Publication
Efficient multi-scale POMDPs for robotic object search and delivery
Holzherr, Luc, Foerster, Julian, Breyer, Michel, Nieto, Juan, Siegwart, Roland and Chung, Jen Jen (2021). Efficient multi-scale POMDPs for robotic object search and delivery. IEEE International Conference on Robotics and Automation (ICRA), Xian, Peoples Republic of China, 30 May - 5 June 2021. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icra48506.2021.9561047
2021
Conference Publication
NavRep: unsupervised representations for reinforcement learning of robot navigation in dynamic human environments
Dugas, Daniel, Nieto, Juan, Siegwart, Roland and Chung, Jen Jen (2021). NavRep: unsupervised representations for reinforcement learning of robot navigation in dynamic human environments. IEEE International Conference on Robotics and Automation (ICRA), Xian, Peoples Republic of China, 30 May - 5 June 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icra48506.2021.9560951
2021
Conference Publication
Learn to path: using neural networks to predict Dubins path characteristics for aerial vehicles in wind
Phillips, Trevor, Stolzle, Maximilian, Turricelli, Erick, Achermann, Florian, Lawrance, Nicholas, Siegwart, Roland and Chung, Jen Jen (2021). Learn to path: using neural networks to predict Dubins path characteristics for aerial vehicles in wind. IEEE International Conference on Robotics and Automation (ICRA), Xian, Peoples Republic of China, 30 May - 5 June 2021. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icra48506.2021.9560879
2021
Conference Publication
Crowd against the machine: a simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd
Grzeskowiak, Fabien, Gonon, David, Dugas, Daniel, Paez-Granados, Diego, Chung, Jen Jen, Nieto, Juan, Siegwart, Roland, Billard, Aude, Babel, Marie and Pettre, Julien (2021). Crowd against the machine: a simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd. IEEE International Conference on Robotics and Automation (ICRA), Xian, Peoples Republic of China, 30 May - 5 June 2021. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icra48506.2021.9561694
2021
Conference Publication
CalQNet - detection of calibration quality for life-long stereo camera setups
Zhong, Jiapeng, Ye, Zheyu, Cramariuc, Andrei, Tschopp, Florian, Chung, Jen Jen, Siegwart, Roland and Cadena, Cesar (2021). CalQNet - detection of calibration quality for life-long stereo camera setups. 32nd IEEE Intelligent Vehicles Symposium (IV), Electr Network, 11-17 July 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iv48863.2021.9575916
2021
Conference Publication
Online informative path planning for active information gathering of a 3D surface
Zhu, Hai, Chung, Jen Jen, Lawrance, Nicholas R. J., Siegwart, Roland and Alonso-Mora, Javier (2021). Online informative path planning for active information gathering of a 3D surface. IEEE International Conference on Robotics and Automation (ICRA), Xian, Peoples Republic of China, 30 May - 5 June 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icra48506.2021.9561963
2020
Conference Publication
A connectivity-prediction algorithm and its application in active cooperative localization for multi-robot systems
Zhang, Liang, Zhang, Zexu, Siegwart, Roland and Chung, Jen Jen (2020). A connectivity-prediction algorithm and its application in active cooperative localization for multi-robot systems. 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 31 May-31 August 2020. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/icra40945.2020.9197083
2020
Conference Publication
Informative path planning for active field mapping under localization uncertainty
Popovic, Marija, Vidal-Calleja, Teresa, Chung, Jen Jen, Nieto, Juan and Siegwart, Roland (2020). Informative path planning for active field mapping under localization uncertainty. 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 31 May 2020-31 August 2020. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icra40945.2020.9197034
2020
Journal Article
The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains
Chung, Jen Jen, Miklic, Damjan, Sabattini, Lorenzo, Tumer, Kagan and Siegwart, Roland (2020). The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains. Autonomous Agents and Multi-Agent Systems, 34 (1) 21. doi: 10.1007/s10458-020-09442-1
2020
Journal Article
An informative path planning framework for UAV-based terrain monitoring
Popovic, Marija, Vidal-Calleja, Teresa, Hitz, Gregory, Chung, Jen Jen, Sa, Inkyu, Siegwart, Roland and Nieto, Juan (2020). An informative path planning framework for UAV-based terrain monitoring. Autonomous Robots, 44 (6), 889-911. doi: 10.1007/s10514-020-09903-2
2020
Conference Publication
Learning trajectories for visual-inertial system calibration via model-based heuristic deep reinforcement learning
Chen, Le, Ao, Yunke, Tschopp, Florian, Cramariuc, Andrei, Breyer, Michel, Chung, Jen Jen, Siegwart, Roland and Cadena, Cesar (2020). Learning trajectories for visual-inertial system calibration via model-based heuristic deep reinforcement learning. 4th Conference on Robot Learning (CoRL) 2020, Virtual, 16-18 November 2020. Cambridge, MA USA: PMLR. doi: 10.48550/arXiv.2011.02574
2020
Conference Publication
Risk-aware graph search with dynamic edge cost discovery
Skeele, Ryan, Chung, Jen Jen and Hollinger, Geoffrey A. (2020). Risk-aware graph search with dynamic edge cost discovery. Algorithmic Foundations of Robotics, San Francisco, CA, United States, 18-20 December 2016. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-43089-4_21
2020
Conference Publication
Volumetric Grasping Network: real-time 6 DOF grasp detection in clutter
Breyer, Michel, Chung, Jen Jen, Ott, Lionel, Siegwart, Roland and Nieto, Juan (2020). Volumetric Grasping Network: real-time 6 DOF grasp detection in clutter. Conference on Robot Learning, Virtual, 16-18 November 2020. Cambridge, MA, United States: PMLR.
2020
Conference Publication
Accurate mapping and planning for autonomous racing
Andresen, Leiv, Brandemuehl, Adrian, Hoenger, Alex, Kuan, Benson, Voedisch, Niclas, Blum, Hermann, Reijgwart, Victor, Bernreiter, Lukas, Schaupp, Lukas, Chung, Jen Jen, Buerki, Mathias, Oswald, Martin R., Siegwart, Roland and Gawel, Abel (2020). Accurate mapping and planning for autonomous racing. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, United States, 24 October 2020-24 January 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/iros45743.2020.9341702
2020
Conference Publication
With whom to communicate: learning efficient communication for multi-robot collision avoidance
Serra-Gomez, Alvaro, Brito, Bruno, Zhu, Hai, Chung, Jen Jen and Alonso-Mora, Javier (2020). With whom to communicate: learning efficient communication for multi-robot collision avoidance. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, United States, 24 October 2020-24 January 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/iros45743.2020.9341762
2020
Conference Publication
Learning trajectories for visual-inertial system calibration via model-based heuristic deep reinforcement learning
Chen, Le, Ao, Yunke, Tschopp, Florian, Cramariuc, Andrei, Breyer, Michel, Chung, Jen Jen, Siegwart, Roland and Cadena, Cesar (2020). Learning trajectories for visual-inertial system calibration via model-based heuristic deep reinforcement learning. 4th Conference on Robot Learning (CoRL 2020), Cambridge, MA, United States, 16-18 November 2020. ML Research Press.
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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