F. Achermann, T. Stastny, B. Danciu, A. Kolobov, J. J. Chung, R. Siegwart, and N. Lawrance. WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small uncrewed aerial vehicle. In Nature Communications, 2024. [pdf] [cite] [video] [code]
F. Achermann, J. A. Haug, T. Zumsteg, N. Lawrance, J. J. Chung, A. Kolobov, and R. Siegwart. Watching the air rise: Learning-based single-frame schlieren detection. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2024), 2024. [pdf] [cite] [video]
K. Blomqvist, F. Milano, J. J. Chung, L. Ott and R. Siegwart. Neural implicit vision-language feature fields. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), 2023. [pdf] [cite] [code]
K. Blomqvist, L. Ott, J. J. Chung and R. Siegwart. Baking in the feature: Accelerating volumetric segmentation by rendering feature maps. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), 2023. [pdf] [cite] [code]
K. Cai, W. Chen, D. Dugas, R. Siegwart and J. J. Chung. Sampling-based path planning in highly dynamic and crowded pedestrian flow. In IEEE Transaction on Intelligent Transportation Systems, 2023. [pdf] [cite]
K. Blomqvist, F. Milano, J. J. Chung, L. Ott and R. Siegwart. Grounding pretrained features in 3D representations. In Proceedings of the ICRA 2023 Workshop on Pretraining for Robotics, 2023. [pdf] [cite]
J. Förster, L. Ott, J. Nieto, N. Lawrance, R. Siegwart and J. J. Chung. Automatic extension of a symboilc mobile manipulation skill set. In Robotics and Autonomous Systems (RAS), 2023. [pdf] [cite] [code]
G. Rizzi, J. J. Chung, A. Gawel, L. Ott, M. Tognon and R. Siegwart. Robust sampling-based control of mobile manipulators for interaction with articulated objects. In IEEE Transactions on Robotics (TRO), 2023. [pdf] [cite] [video] [code]
G. Schiavi, P. Wulkop, G. M. Rizzi, L. Ott, R. Siegwart and J. J. Chung. Learning agent-aware affordances for closed-loop interaction with articulated objects. In IEEE International Conference on Robotics and Automation, 2023. [pdf] [cite] [code] [website]
K. Blomqvist, J. J. Chung, L. Ott and R. Siegwart. NeRFing it: Offline object segmentation through implicit modeling. In IEEE International Conference on Robotics and Automation, 2023. [cite]
M. Iovino, J. Förster, P. Falco, J. J. Chung, R. Siegwart and C. Smith. On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications. In IEEE International Conference on Robotics and Automation (ICRA), 2023. [pdf] [cite]
L. Streichenberg, E. Trevisan, J. J. Chung, R. Siegwart and J. Alonso-Mora. Multi-agent path integral control for interaction-aware motion planning in urban canals. In IEEE International Conference on Robotics and Automation (ICRA), 2023. [cite]
J. J. Chung, J. Förster, P. Wulkop, L. Ott, N. Lawrance and R. Siegwart. It's just semantics: How to get robots to understand the world the way we do. In Proceedings of the International Symposium on Robotics Research (ISRR 2022), 2022. [pdf] [cite]
L. Zhang, Z. Zhang, R. Siegwart and J. J. Chung. Probabilistic network topology prediction for active planning: An adaptive algorithm and application. In IEEE Transactions on Robotics (TRO), 2022. [pdf] [cite]
M. Breyer, L. Ott, R. Siegwart and J. J. Chung. Closed-loop next-best-view planning for target-driven grasping. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), 2022. [pdf] [cite] [video] [code]
D. Dugas, K. Cai, O. Andersson, N. Lawrance, R. Siegwart and J. J. Chung. FlowBot: Flow-based modeling for robot navigation. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), 2022. [pdf] [cite]
R. Bähnemann, N. Lawrance, L. Streichenberg, J. J. Chung, M. Pantic, A. Grathwohl, C. Waldschmidt and R. Siegwart. Under the Sand: Navigation and localization of a small unmanned aerial vehicle for landmine detection with ground penetrating synthetic aperture radar. In Field Robotics, 2022. [pdf] [cite] [video]
K. Blomqvist, J. J. Chung, L. Ott and R. Siegwart. Semi-automatic 3D object keypoint annotation and detection for the masses. In International Conference on Pattern Recognition (ICPR 2022), 2022. [pdf] [cite] [code] [video]
J. Zhong, Z. Ye, A. Cramariuc, F. Tschopp, J. J. Chung, R. Siegwart and C. Cadena. CalQNet - Detection of calibration quality for life-long stereo camera setups. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV 2021), 2021. [pdf] [cite]
L. Zhang, Z. Zhang, R. Siegwart and J. J. Chung. Distributed PDOP coverage control: Providing large-scale positioning service using a multi-robot system. In IEEE Robotics and Automation Letters, 2021. [pdf] [cite]
D. Dugas, J. Nieto, R. Siegwart, and J. J. Chung. NavRep: Unsupervised representations for reinforcement learning of robot navigation in dynamic human environments. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2021), 2021. [pdf] [cite] [code]
L. Holzherr, J. Förster, M. Breyer, J. Nieto, R. Siegwart and J. J. Chung. Efficient multi-scale POMDPs for robotic object search and delivery. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2021), 2021. [pdf] [cite] [code]
T. Phillips, M. Stölzle, E. Turricelli, F. Achermann, N. R. J. Lawrance, R. Siegwart and J. J. Chung. Learn to Path: Using neural networks to predict Dubins path characteristics for aerial vehicles in wind. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2021), 2021. [pdf] [cite]
H. Zhu, J. J. Chung, N. R. J. Lawrance, R. Siegwart and J. Alonso-Mora. Online informative path planning for active information gathering of a 3D surface. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2021), 2021. [pdf] [cite]
F. Grzeskowiak, D. Gonon, D. Dugas, D. Paez-Granados, J. J. Chung, J. Nieto, R. Siegwart, A. Billard, M. Babel and J. Pettré. Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2021), 2021. [pdf] [cite] [code]
M. Breyer, J. J. Chung, L. Ott, R. Siegwart and J. Nieto. Volumetric Grasping Network: Real-time 6 DOF grasp detection in clutter. In Proceedings of the Conference on Robot Learning (CoRL 2020), 2020. [pdf] [cite] [code] [video]
F. Achermann, A. Kolobov, D. Dey, T. Hinzmann, J. J. Chung, R. Siegwart and N. R. J. Lawrance. MultiPoint: Cross-spectral registration of thermal and optical aerial imagery. In Proceedings of the Conference on Robot Learning (CoRL 2020), 2020. [pdf] [cite] [code]
L. Chen, Y. Ao, F. Tschopp, A. Cramariuc, M. Breyer, J. J. Chung, R. Siegwart and C. Cadena. Learning trajectories for visual-inertial system calibration via model-based heuristic deep reinforcement learning. In Proceedings of the Conference on Robot Learning (CoRL 2020), 2020. [pdf] [cite] [code]
D. Dugas, J. Nieto, R. Siegwart and J. J. Chung. IAN: Multi-behavior navigation planning for robots in real, crowded environments. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), 2020. [pdf] [cite] [code][video]
Á. Serra-Gómez, B. Brito, H. Zhu , J. J. Chung and J. Alonso-Mora. With whom to communicate: Learning efficient communication for multi-robot collision avoidance. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), 2020. [pdf] [cite]
L. Andresen, A. Brandemuehl, A. Hönger, B. Kuan, N. Vödisch, H. Blum, V. Reijgwart, L. Bernreiter, L. Schaupp, J. J. Chung, M. Bürki, M. R. Oswald, R. Siegwart and A. Gawel. Accurate mapping and planning for autonomous racing. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), 2020. [pdf] [cite] [video]
K. Blomqvist, M. Breyer, A. Cramariuc, J. Förster, M. Grinvald, F. Tschopp, J. J. Chung, L. Ott, J. Nieto and R. Siegwart. Go Fetch: Mobile manipulation in unstructured environments. In ICRA 2020 Workshop on Perception, Action, Learning: From Metric-Semantic Scene Understanding to High-level Task Execution, 2020. [pdf] [cite] [video]
J. Kindle, F. Furrer, T. Novkovic, J. J. Chung, R. Siegwart and J. Nieto. Whole-body control of a mobile manipulator using end-to-end reinforcement learning. In arXiv:2003.02637, 2020. [pdf] [cite] [video]
M. Popović, T. Vidal-Calleja, G. Hitz, J. J. Chung, I. Sa, R. Siegwart and J. Nieto. An informative path planning framework for UAV-based terrain monitoring. In Autonomous Robots, 2020. [pdf] [cite]
J. J. Chung, D. Miklić, L. Sabattini, K. Tumer and R. Siegwart. The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains. In Autonomous Agents and Multi-Agent Systems, 34(21), 2020. [pdf] [cite]
M. Popović, T. Vidal-Calleja, J. J. Chung, J. Nieto and R. Siegwart. Informative path planning for active mapping under localization uncertainty. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2020), 2020. [pdf] [cite] [ICRA video presentation]
L. Zhang, Z. Zhang, R. Siegwart and J. J. Chung. A connectivity-prediction algorithm and its application in active cooperative localization for multi-robot systems. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2020), 2020. [pdf] [cite]
M. Grinvald, F. Furrer, T. Novkovic, J. J. Chung, C. Cadena, R. Siegwart and J. Nieto. Volumetric instance-aware semantic mapping and 3D object discovery. In IEEE Robotics and Automation Letters, pages 3037-3044, 2019. [pdf] [cite] [video] [code]
R. Bähnemann, N. Lawrance, J. J. Chung, M. Pantic, R. Siegwart and J. Nieto. Revisiting boustrophedon coverage path planning as a generalized traveling salesman problem. In Proceedings of the 12th Conference on Field and Service Robotics (FSR 2019), pages 1-14, 2019. [pdf] [cite] [video]
L. Zhang, Z. Zhang, R. Siegwart and J. J. Chung. Optimized motion strategy for active target localization of mobile robots with time-varying connectivity. In Proceedings of the 2nd IEEE International Symposium on Multi-robot and Multi-agent Systems (MRS 2019), pages 185-187, 2019. Extended abstract. [pdf] [cite]
F. Achermann, N. R. J. Lawrance, R. Ranftl, A. Dosovitskiy, J. J. Chung and R. Siegwart. Learning to predict the wind for safe aerial vehicle planning. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2019), pages 2311-2317 2019. [pdf] [cite] [video]
J. J. Chung, D. Miklić, L. Sabattini, K. Tumer and R. Siegwart. The impact of agent definitions and interactions on multiagent learning for coordination. In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), pages 1752-1760, 2019. [pdf] [cite]
J. J. Chung, C. Rebhuhn, C. Yates, G. A. Hollinger and K. Tumer. A multiagent framework for learning dynamic traffic management strategies. Autonomous Robots, pages 1375-1391, 2019. [pdf] [cite]
J. J. Chung, A. J. Smith, R. Skeele and G. A. Hollinger. Risk-aware graph search with dynamic edge cost discovery. International Journal of Robotics Research, pages 182-195, 2019. [pdf] [video] [cite]
S. Khadka, J. J. Chung and K. Tumer. Neuroevolution of a modular memory-augmented neural network for deep memory problems. Evolutionary Computation, pages 1-25, 2018. Early access. [pdf] [cite]
J. J. Chung, J. Faigl and G. A. Hollinger. Autonomous Robots Special Issue: Online Decision-Making in Multi-Robot Coordination, pages 687-952, 2018. [link] [editorial] [cite]
J. J. Chung, S. Chow and K. Tumer. When less is more: Reducing agent noise with probabilistically learning agents. In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), pages 1900-1902, 2018. Extended abstact. [pdf] [cite]
S. Khadka, J. J. Chung and K. Tumer. Memory-augmented multi-robot teams that learn to adapt. In Proceedings of the 1st International Symposium on Multi-Robot and Multi-Agent Systems (MRS 2017), pages 128-134, 2017. [pdf] [cite]
S. Khadka, J. J. Chung and K. Tumer. Evolving memory-augmented neural architecture for deep memory problems. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017), pages 441-448, 2017. [pdf] [cite]
J. J. Chung, L. Milliken, G. A. Hollinger and K. Tumer. When to ask for help: Introspection in multi-robot teams. In Proceedings of the ICRA 2017 Workshop on Human Multi-Robot System Interaction, pages 1-4, 2017. [pdf] [cite]
N. R. J. Lawrance, J. J. Chung and G. A. Hollinger. Fast Marching adaptive sampling. In IEEE Robotics and Automation Letters, pages 696-703, 2017. [pdf] [cite]
R. Skeele, J. J. Chung and G. A. Hollinger. Risk-aware graph search with dynamic edge cost discovery. In Proceedings of the 12th International Workshop on the Algorithmic Foundations of Robotics (WAFR 2016), 2016. [pdf] [cite]
A. Rahmattalabi, J. J. Chung, M. Colby and K. Tumer. D++: Structural credit assignment in tightly coupled multiagent domains. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), pages 4424-4429, 2016. [pdf] [cite]
A. Rahmattalabi, J. J. Chung and K. Tumer. D++: Structural credit assignment in tightly coupled multiagent domains. In Proceedings of the 2016 Robotic Science and Systems Workshop on On-line Decision Making in Multi-robot Coordination, pages 1-8, 2016. [pdf] [cite]
M. Colby, T. Duchow-Pressley, J. J. Chung and K. Tumer. Local approximation of difference evaluation functions. In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), pages 521-529, 2016. [pdf] [mp4] [cite]
C. Rebhuhn, R. Skeele, J. J. Chung, G. A. Hollinger and K. Tumer. Learning to trick cost-based planners into cooperative behaviour. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), pages 4627-4633, 2015. [pdf] [cite]
M. Colby, J. J. Chung and K. Tumer. Implicit adaptive multi-robot coordination in dynamic environments. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), pages 5168-5173, 2015. [pdf] [cite]
J. J. Chung, N. R. J. Lawrance, S. K. Gan, Z. Xu, R. Fitch and S. Sukkarieh. Variable density PRM waypoint generation and connection radii for energy-efficient flight through wind fields. In Proceedings of the ICRA 2015 Workshop Beyond Geometric Constraints: Planning for Solving Complex Tasks, Reducing Uncertainty, and Generating Informative Paths & Policies, 2015. [pdf] [cite]
N. R. J. Lawrance, J. J. Chung and G. A. Hollinger. Shortest path exploration with fast marching. In Proceedings of the ICRA 2015 Workshop Beyond Geometric Constraints: Planning for Solving Complex Tasks, Reducing Uncertainty, and Generating Informative Paths & Policies, 2015. [pdf] [cite]
R. Skeele, J. J. Chung, G. A. Hollinger and K. Tumer. Risk aware graph search with uncertain edge costs. In Proceedings of the ICRA 2015 Workshop Beyond Geometric Constraints: Planning for Solving Complex Tasks, Reducing Uncertainty, and Generating Informative Paths & Policies, 2015. [pdf] [cite]
C. Rebhuhn, R. Skeele, J. J. Chung, G. A. Hollinger and K. Tumer. Promoting cooperative behavior between cost-based planners. In Proceedings of the 2015 ICRA Workshop on Taxonomies of Interconnected Systems: Asymmetric Interactions in Distributed Robotics, 2015. [pdf] [cite]
J. J. Chung, N. R. J. Lawrance and S. Sukkarieh. Learning to soar: Resource-constrained exploration in reinforcement learning. International Journal of Robotics Research, pages 158-172, 2015. [pdf] [cite]
J. J. Chung. Learning to Soar: Exploration Strategies in Reinforcement Learning for Resource-Constrained Missions. PhD Thesis, University of Sydney, 2014. [pdf] [cite]
N. R. J. Lawrance, J. J. Acevedo, J. J. Chung, J. L. Nguyen, D. Wilson and S. Sukkarieh. Long endurance autonomous flight for unmanned aerial vehicles. Onera Aerospace Lab Journal, pages 1-15, 2014. [pdf] [cite]
J. J. Chung, N. R. J. Lawrance and S. Sukkarieh. Resource constrained exploration in reinforcement learning. In Proceedings of the 2013 Robotic Science and Systems Workshop on Robotic Exploration, Monitoring, and Information Collection: Nonparametric Modeling, Information-based Control, and Planning under Uncertainty, pages 1-6, 2013. [pdf] [cite]
J. J. Chung, N. R. J. Lawrance and S. Sukkarieh. Gaussian processes for informative exploration in reinforcement learning. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2013), pages 2618-2624, 2013. [pdf] [cite]
J. J. Chung, M. Á. Trujillo Soto and S. Sukkarieh. A new utility function for smooth transition between exploration and exploitation of a wind energy field. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), pages 4999-5005, 2012. [pdf] [mp4] [cite]
G. Brooker, J. Randle, M. E. Attia, Z. Xu, T. Abuhashim, A. Kassir, J. J. Chung, S. Sukkarieh, N. Tahir and J. Dickens. Strobe based sensor for tracking multiple locusts from a UAV. In Proceedings of the Progress in Radar Research, 2012. [pdf] [cite]
G. Brooker, J. Randle, M. E. Attia, Z. Xu, T. Abuhashim, A. Kassir, J. J. Chung, S. Sukkarieh, N. Tahir and J. Dickens. First airborne trial of a UAV based optical locust tracker. In Proceedings of Australasian Conference on Robotics and Automation, pages 1-9, 2011. [pdf] [cite]
J. J. Chung and S. Sukkarieh. High level risk analysis and decision making regarding the prediction of thermal lift locations for an autonomous Mars glider. In Proceedings of the 10th Australian Space Science Conference, pages 237-248, 2010. [pdf] [cite]