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2021 Conference Publication Online informative path planning for active information gathering of a 3D surfaceZhu, 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 |
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2021 Conference Publication NavRep: unsupervised representations for reinforcement learning of robot navigation in dynamic human environmentsDugas, 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 |
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2020 Conference Publication A connectivity-prediction algorithm and its application in active cooperative localization for multi-robot systemsZhang, 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 |
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2020 Conference Publication Informative path planning for active field mapping under localization uncertaintyPopovic, 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 |
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2020 Conference Publication With whom to communicate: learning efficient communication for multi-robot collision avoidanceSerra-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 |
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2020 Conference Publication Risk-aware graph search with dynamic edge cost discoverySkeele, 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 |
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2020 Conference Publication MultiPoint: cross-spectral registration of thermal and optical aerial imageryAchermann, 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. |
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2020 Conference Publication Learning trajectories for visual-inertial system calibration via model-based heuristic deep reinforcement learningChen, 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. |
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2020 Conference Publication Learning trajectories for visual-inertial system calibration via model-based heuristic deep reinforcement learningChen, 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 |
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2020 Conference Publication Volumetric Grasping Network: real-time 6 DOF grasp detection in clutterBreyer, 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. |
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2020 Conference Publication Accurate mapping and planning for autonomous racingAndresen, 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 |
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2020 Conference Publication Volumetric grasping network: real-time 6 DOF grasp detection in clutterBreyer, Michel, Chung, Jen Jen, Ott, Lionel, Siegwart, Roland and Nieto, Juan (2020). Volumetric grasping network: real-time 6 DOF grasp detection in clutter. 4th Conference on Robot Learning (CoRL 2020), Cambridge, MA, United States, 16-18 November 2020. ML Research Press. |
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2019 Conference Publication Optimized motion strategy for active target localization of mobile robots with time-varying connectivity: Extended AbstractZhang, 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 |
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2019 Conference Publication Learning to predict the wind for safe aerial vehicle planningAchermann, 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 |
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2019 Conference Publication The impact of agent definitions and interactions on multiagent learning for coordinationChung, 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. |
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2019 Conference Publication Revisiting Boustrophedon coverage path planning as a generalized traveling salesman problemBähnemann, 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 |
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2018 Conference Publication When less is more: reducing agent noise with probabilistically learning agentsChung, 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. |
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2017 Conference Publication Memory-augmented multi-robot teams that learn to adaptKhadka, 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 |
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2017 Conference Publication Evolving memory-augmented neural architecture for deep memory problemsKhadka, 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 |
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2016 Conference Publication D++: structural credit assignment in tightly coupled multiagent domainsRahmattalabi, 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 |
