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
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.
2019
Journal Article
Neuroevolution of a modular memory-augmented neural network for deep memory problems
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
2019
Conference Publication
Optimized motion strategy for active target localization of mobile robots with time-varying connectivity: Extended Abstract
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
2019
Journal Article
A multiagent framework for learning dynamic traffic management strategies
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
2019
Journal Article
Volumetric instance-aware semantic mapping and 3D object discovery
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
2019
Conference Publication
Learning to predict the wind for safe aerial vehicle planning
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
2019
Journal Article
Risk-aware graph search with dynamic edge cost discovery
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
2019
Conference Publication
The impact of agent definitions and interactions on multiagent learning for coordination
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.
2019
Conference Publication
Revisiting Boustrophedon coverage path planning as a generalized traveling salesman problem
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
2018
Journal Article
Guest editorial: special issue on online decision making in multi-robot coordination
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
2018
Conference Publication
When less is more: reducing agent noise with probabilistically learning agents
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.
2017
Conference Publication
Memory-augmented multi-robot teams that learn to adapt
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
2017
Journal Article
Fast marching adaptive sampling
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
2017
Conference Publication
Evolving memory-augmented neural architecture for deep memory problems
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
2016
Conference Publication
D++: structural credit assignment in tightly coupled multiagent domains
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
2016
Conference Publication
Local approximation of difference evaluation functions
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.
2015
Conference Publication
Learning to trick cost-based planners into cooperative behavior
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
2015
Conference Publication
Implicit adaptive multi-robot coordination in dynamic environments
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
2015
Journal Article
Learning to soar: Resource-constrained exploration in reinforcement learning
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
Funding
Current funding
Supervision
Availability
- Associate Professor Jen Jen Chung is:
- Available for supervision
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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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