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Associate Professor Jen Jen Chung

Associate Professor in Mechatronics

School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
jenjen.chung@uq.edu.au

Overview

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.

Qualifications

  • Member, Institute of Electrical and Electronics Engineers, Institute of Electrical and Electronics Engineers

Publications

  • 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

  • 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. doi: 10.1109/iros55552.2023.10342275

  • 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

View all Publications

Publications

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

Journal Article

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

  • 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. doi: 10.1109/iros55552.2023.10342275

  • 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

  • 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. doi: 10.1109/icra48891.2023.10161511

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • MultiPoint: cross-spectral registration of thermal and optical aerial imagery

    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.

  • 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

  • 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.

  • 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

  • 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

  • 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

  • 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

  • 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.

  • 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.

  • 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

  • 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

  • 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

  • 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.

  • 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

  • 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

  • Gaussian processes for informative exploration in reinforcement learning

    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

  • A new utility function for smooth transition between exploration and exploitation of a wind energy field

    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

  • First airborne trial of a UAV based optical locust tracker

    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.

Other Outputs

This staff member is a UQ Expert for media in the following fields:

robotics, multi-robot systems, reinforcement learning, robotic perception, robotic mobile manipulation, robot crowd navigation, informative and adaptive planning

They are happy to lend their expertise to your articles or broadcasts and share their research discoveries and insights with the community via media channels.

For additional assistance with story ideas, general advice and information or help with seeking further experts, please email the UQ Media Team or telephone (07) 3365 1120.

Links

ORCID: 0000-0001-7828-0741

Scopus ID: 57116898100

Google Scholar ID: FpzRM5UAAAAJ

Personal Profile: Link

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