Associate Professor Jen Jen Chung
Associate Professor in Mechatronics
School of Electrical Engineering and Computer Science
Researcher biography
Jen Jen Chung is an Associate Professor in Mechatronics within the School of Information Technology and Electrical Engineering 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.
Book Chapter
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
Journal Articles
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. doi: 10.1038/s41467-024-47778-4
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
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
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
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
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
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
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
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
Khadka, Shauharda, Chung, Jen Jen and Tumer, Kagan (2019). Neuroevolution of a modular memory-augmented neural network for deep memory problems. Evolutionary Computation, 27 (4), 639-664. doi: 10.1162/evco_a_00239
Chung, Jen Jen, Rebhuhn, Carrie, Yates, Connor, Hollinger, Geoffrey A. and Tumer, Kagan (2019). A multiagent framework for learning dynamic traffic management strategies. Autonomous Robots, 43 (6), 1375-1391. doi: 10.1007/s10514-018-9800-z
Grinvald, Margarita, Furrer, Fadri, Novkovic, Tonci, Chung, Jen Jen, Cadena, Cesar, Siegwart, Roland and Nieto, Juan (2019). Volumetric instance-aware semantic mapping and 3D object discovery. IEEE Robotics and Automation Letters, 4 (3) 8741085, 3037-3044. doi: 10.1109/lra.2019.2923960
Chung, Jen Jen, Smith, Andrew J., Skeele, Ryan and Hollinger, Geoffrey A. (2019). Risk-aware graph search with dynamic edge cost discovery. The International Journal of Robotics Research, 38 (2-3), 182-195. doi: 10.1177/0278364918781009
Chung, Jen Jen, Faigl, Jan and Hollinger, Geoffrey A. (2018). Guest editorial: special issue on online decision making in multi-robot coordination. Autonomous Robots, 42 (4), 687-689. doi: 10.1007/s10514-018-9720-y
Lawrance, Nicholas R. J., Chung, Jen Jen and Hollinger, Geoffrey A. (2017). Fast marching adaptive sampling. IEEE Robotics and Automation Letters, 2 (2) 7812700, 696-703. doi: 10.1109/lra.2017.2651148
Chung, Jen Jen, Lawrance, Nicholas R. J. and Sukkarieh, Salah (2015). Learning to soar: Resource-constrained exploration in reinforcement learning. The International Journal of Robotics Research, 34 (2), 158-172. doi: 10.1177/0278364914553683
Conference Papers
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Achermann, Florian, Kolobov, Andrey, Dey, Debadeepta, Hinzmann, Timo, Chung, Jen Jen, Siegwart, Roland and Lawrance, Nicholas (2020). MultiPoint: cross-spectral registration of thermal and optical aerial imagery. Conference on Robot Learning, Virtual, 16-18 November 2020. Cambridge, MA, United States: PMLR.
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.
Zhang, Liang, Chowdhury, Souma, Zhang, Zexu, Siegwart, Roland and Chung, Jen Jen (2019). Optimized motion strategy for active target localization of mobile robots with time-varying connectivity: Extended Abstract. 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), New Brunswick, NJ, United States, 22-23 August 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/mrs.2019.8901089
Achermann, Florian, Lawrance, Nicholas R. J., Ranftl, René, Dosovitskiy, Alexey, Chung, Jen Jen and Siegwart, Roland (2019). Learning to predict the wind for safe aerial vehicle planning. 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC Canada, 20-24 May 2019. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icra.2019.8793547
Chung, Jen Jen, Miklic, Damjan, Sabattini, Lorenzo, Tumer, Kagan and Siegwart, Roland (2019). The impact of agent definitions and interactions on multiagent learning for coordination. 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), Montreal, Canada, 13-17 May 2019. New York, NY, United States: Springer New York.
Bähnemann, Rik, Lawrance, Nicholas, Chung, Jen Jen, Pantic, Michael, Siegwart, Roland and Nieto, Juan (2019). Revisiting Boustrophedon coverage path planning as a generalized traveling salesman problem. Field and Service Robotics, Tokyo, Japan, 29-31 August 2019. Gateway East, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-15-9460-1_20
Chung, Jen Jen, Chow, Scott and Tumer, Kagan (2018). When less is more: reducing agent noise with probabilistically learning agents. 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), Stockholm, Sweden, 10-15 July 2018. New York, NY, United States: Association for Computing Machinery.
Khadka, Shauharda, Chung, Jen Jen and Tumer, Kagan (2017). Memory-augmented multi-robot teams that learn to adapt. 2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), Los Angeles, United States, 4-5 December 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/mrs.2017.8250941
Khadka, Shauharda, Chung, Jen Jen and Turner, Kagan (2017). Evolving memory-augmented neural architecture for deep memory problems. Genetic and Evolutionary Computation Conference (GECCO), Berlin, Germany, 15-19 July 2017. New York, NY, United States: ACM. doi: 10.1145/3071178.3071346
Rahmattalabi, Aida, Chung, Jen Jen, Colby, Mitchell and Tumer, Kagan (2016). D++: structural credit assignment in tightly coupled multiagent domains. https://espace.library.uq.edu.au/view/UQ:ed9e746, 9-14 October 2014, Daejeon, Korea. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros.2016.7759651
Colby, Mitchell, Duchow-Pressley, Theodore, Chung, Jen Jen and Tumer, Kagan (2016). Local approximation of difference evaluation functions. 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Singapore, Singapore, 9-10 May 2016. Richland, SC, United States: International Foundation for Autonomous Agents and Multiagent Systems.
Colby, Mitchell, Chung, Jen Jen and Tumer, Kagan (2015). Implicit adaptive multi-robot coordination in dynamic environments. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 28 September-2 October 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/iros.2015.7354105
Rebhuhn, Carrie, Skeele, Ryan, Chung, Jen Jen, Hollinger, Geoffrey A. and Tumer, Kagan (2015). Learning to trick cost-based planners into cooperative behavior. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 28 September 2015-02 October 2015. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros.2015.7354036
Chung, Jen Jen, Lawrance, Nicholas R.J. and Sukkarieh, Salah (2013). Gaussian processes for informative exploration in reinforcement learning. IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, 6-10 May 2013. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icra.2013.6630938
Chung, Jen Jen, Angel, Miguel, Soto, Trujillo and Sukkarieh, Salah (2012). A new utility function for smooth transition between exploration and exploitation of a wind energy field. IEEE International Conference on Intelligent Robots and Systems, Vilamoura-Algarve, Portugal, 7-12 October 2012. Piscataway, NJ, United States: IEEE. doi: 10.1109/iros.2012.6385736
Brooker, Graham, Randle, Jeremy, Attia, Muhammad Esa, Xu, Zhe, Abuhashim, Tariq, Kassir, Abdallah, Chung, Jen Jen, Sukkarieh, Salah, Tahir, Nazifa and Dickens, John (2011). First airborne trial of a UAV based optical locust tracker. 2011 Australasian Conference on Robotics and Automation, Melbourne, VIC, Australia, 7-9 December 2011.
Thesis
Chung, Jen Jen (2014). Learning to soar: exploration strategies in reinforcement learning for resource-constrained missions. PhD Thesis, Faculty of Engineering and Information Technologies, School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney.