The University of Queensland

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

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

Robust sampling-based control of mobile manipulators for interaction with articulated objects

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

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, 1-11. doi: 10.1109/tits.2023.3292927

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

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

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), 2217-2224. doi: 10.1109/lra.2021.3059625

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

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

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

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

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), 3037-3044. doi: 10.1109/lra.2019.2923960

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

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

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), 696-703. doi: 10.1109/lra.2017.2651148

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

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. 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. 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. IEEE. 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.

Learning to soar: exploration strategies in reinforcement learning for resource-constrained missions

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.