Jen Jen Chung

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 81

Top Venues

CoRR

ICRA

IROS

IEEE Robotics Autom. Lett.

University of Sydney, Australia (PHD)

Education History

University of Sydney, Australia

PHD

Publications

Florian Achermann, Thomas Stastny, Bogdan Danciu, Andrey Kolobov, Jen Jen Chung, Roland Siegwart, Nicholas R. J. Lawrance
WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV. CoRR (2024)
Matteo Iovino, Julian Förster, Pietro Falco, Jen Jen Chung, Roland Siegwart, Christian Smith
Comparison between Behavior Trees and Finite State Machines. CoRR (2024)
Florian Achermann, Julian Andreas Haug, Tobias Zumsteg, Nicholas R. J. Lawrance, Jen Jen Chung, Andrey Kolobov, Roland Siegwart
Watching the Air Rise: Learning-Based Single-Frame Schlieren Detection. ICRA (2024)
Francesco Milano, Jen Jen Chung, Hermann Blum, Roland Siegwart, Lionel Ott
NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models. CoRR (2024)
Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart
NeRFing it: Offline Object Segmentation Through Implicit Modeling. ICRA (2023)
Lucas Streichenberg, Elia Trevisan, Jen Jen Chung, Roland Siegwart, Javier Alonso-Mora
Multi-Agent Path Integral Control for Interaction-Aware Motion Planning in Urban Canals. ICRA (2023)
Kenneth Blomqvist, Francesco Milano, Jen Jen Chung, Lionel Ott, Roland Siegwart
Neural Implicit Vision-Language Feature Fields. IROS (2023)
Matteo Iovino, Julian Förster, Pietro Falco, Jen Jen Chung, Roland Siegwart, Christian Smith
On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications. ICRA (2023)
Kenneth Blomqvist, Lionel Ott, Jen Jen Chung, Roland Siegwart
Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps. IROS (2023)
Lucas Streichenberg, Elia Trevisan, Jen Jen Chung, Roland Siegwart, Javier Alonso-Mora
Multi-Agent Path Integral Control for Interaction-Aware Motion Planning in Urban Canals. CoRR (2023)
Liang Zhang, Zexu Zhang, Roland Siegwart, Jen Jen Chung
Probabilistic Network Topology Prediction for Active Planning: An Adaptive Algorithm and Application. IEEE Trans. Robotics 39 (1) (2023)
Giulio Schiavi, Paula Wulkop, Giuseppe Rizzi, Lionel Ott, Roland Siegwart, Jen Jen Chung
Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects. ICRA (2023)
Kuanqi Cai, Weinan Chen, Daniel Dugas, Roland Siegwart, Jen Jen Chung
Sampling-Based Path Planning in Highly Dynamic and Crowded Pedestrian Flow. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Kenneth Blomqvist, Francesco Milano, Jen Jen Chung, Lionel Ott, Roland Siegwart
Neural Implicit Vision-Language Feature Fields. CoRR (2023)
Julian Förster, Lionel Ott, Juan I. Nieto, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung
Automatic extension of a symbolic mobile manipulation skill set. Robotics Auton. Syst. 165 (2023)
Giuseppe Rizzi, Jen Jen Chung, Abel Gawel, Lionel Ott, Marco Tognon, Roland Siegwart
Robust Sampling-Based Control of Mobile Manipulators for Interaction With Articulated Objects. IEEE Trans. Robotics 39 (3) (2023)
Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart
Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses. ICPR (2022)
Daniel Dugas, Kuanqi Cai, Olov Andersson, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung
FlowBot: Flow-based Modeling for Robot Navigation. IROS (2022)
Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart
Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses. CoRR (2022)
Michel Breyer, Lionel Ott, Roland Siegwart, Jen Jen Chung
Closed-Loop Next-Best-View Planning for Target-Driven Grasping. IROS (2022)
Liang Zhang, Zexu Zhang, Roland Siegwart, Jen Jen Chung
Probabilistic network topology prediction for active planning: An adaptive algorithm and application. CoRR (2022)
Rik Bähnemann, Nicholas R. J. Lawrance, Lucas Streichenberg, Jen Jen Chung, Michael Pantic, Alexander Grathwohl, Christian Waldschmidt, Roland Siegwart
Under the Sand: Navigation and Localization of a Micro Aerial Vehicle for Landmine Detection with Ground-Penetrating Synthetic Aperture Radar. Field Robotics 2 (1) (2022)
Giulio Schiavi, Paula Wulkop, Giuseppe Rizzi, Lionel Ott, Roland Siegwart, Jen Jen Chung
Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects. CoRR (2022)
Daniel Dugas, Olov Andersson, Roland Siegwart, Jen Jen Chung
NavDreams: Towards Camera-Only RL Navigation Among Humans. IROS (2022)
Daniel Dugas, Olov Andersson, Roland Siegwart, Jen Jen Chung
NavDreams: Towards Camera-Only RL Navigation Among Humans. CoRR (2022)
Chunwei Xing, Xinyu Sun, Andrei Cramariuc, Samuel Gull, Jen Jen Chung, César Cadena, Roland Siegwart, Florian Tschopp
Descriptellation: Deep Learned Constellation Descriptors for SLAM. CoRR (2022)
Jen Jen Chung, Julian Förster, Paula Wulkop, Lionel Ott, Nicholas R. J. Lawrance, Roland Siegwart
It's Just Semantics: How to Get Robots to Understand the World the Way We Do. ISRR (2022)
Kenneth Blomqvist, Lionel Ott, Jen Jen Chung, Roland Siegwart
Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps. CoRR (2022)
Michel Breyer, Lionel Ott, Roland Siegwart, Jen Jen Chung
Closed-Loop Next-Best-View Planning for Target-Driven Grasping. CoRR (2022)
Matteo Iovino, Julian Förster, Pietro Falco, Jen Jen Chung, Roland Siegwart, Christian Smith
On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications. CoRR (2022)
Liang Zhang, Zexu Zhang, Roland Siegwart, Jen Jen Chung
Distributed PDOP Coverage Control: Providing Large-Scale Positioning Service Using a Multi-Robot System. IEEE Robotics Autom. Lett. 6 (2) (2021)
Jiapeng Zhong, Zheyu Ye, Andrei Cramariuc, Florian Tschopp, Jen Jen Chung, Roland Siegwart, César Cadena
CalQNet - Detection of Calibration Quality for Life-Long Stereo Camera Setups. CoRR (2021)
Daniel Dugas, Juan I. Nieto, Roland Siegwart, Jen Jen Chung
NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments. ICRA (2021)
Trevor Phillips, Maximilian Stölzle, Erick Turricelli, Florian Achermann, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung
Learn to Path: Using neural networks to predict Dubins path characteristics for aerial vehicles in wind. ICRA (2021)
Jiapeng Zhong, Zheyu Ye, Andrei Cramariuc, Florian Tschopp, Jen Jen Chung, Roland Siegwart, Cesar Cadena
CalQNet - Detection of Calibration Quality for Life-Long Stereo Camera Setups. IV (2021)
Fabien Grzeskowiak, David J. Gonon, Daniel Dugas, Diego Paez-Granados, Jen Jen Chung, Juan I. Nieto, Roland Siegwart, Aude Billard, Marie Babel, Julien Pettré
Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd. ICRA (2021)
Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan I. Nieto
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter. CoRR (2021)
Hai Zhu, Jen Jen Chung, Nicholas R. J. Lawrance, Roland Siegwart, Javier Alonso-Mora
Online Informative Path Planning for Active Information Gathering of a 3D Surface. ICRA (2021)
Rik Bähnemann, Nicholas R. J. Lawrance, Lucas Streichenberg, Jen Jen Chung, Michael Pantic, Alexander Grathwohl, Christian Waldschmidt, Roland Siegwart
Under the Sand: Navigation and Localization of a Small Unmanned Aerial Vehicle for Landmine Detection with Ground Penetrating Synthetic Aperture Radar. CoRR (2021)
Luc Holzherr, Julian Förster, Michel Breyer, Juan I. Nieto, Roland Siegwart, Jen Jen Chung
Efficient Multi-scale POMDPs for Robotic Object Search and Delivery. ICRA (2021)
Hai Zhu, Jen Jen Chung, Nicholas R. J. Lawrance, Roland Siegwart, Javier Alonso-Mora
Online Informative Path Planning for Active Information Gathering of a 3D Surface. CoRR (2021)
Daniel Dugas, Juan I. Nieto, Roland Siegwart, Jen Jen Chung
IAN: Multi-Behavior Navigation Planning for Robots in Real, Crowded Environments. IROS (2020)
Marija Popovic, Teresa A. Vidal-Calleja, Gregory Hitz, Jen Jen Chung, Inkyu Sa, Roland Siegwart, Juan I. Nieto
An informative path planning framework for UAV-based terrain monitoring. Auton. Robots 44 (6) (2020)
Leiv Andresen, Adrian Brandemuehl, Alex Hönger, Benson Kuan, Niclas Vödisch, Hermann Blum, Victor Reijgwart, Lukas Bernreiter, Lukas Schaupp, Jen Jen Chung, Mathias Bürki, Martin R. Oswald, Roland Siegwart, Abel Gawel
Accurate Mapping and Planning for Autonomous Racing. IROS (2020)
Marija Popovic, Teresa A. Vidal-Calleja, Jen Jen Chung, Juan I. Nieto, Roland Siegwart
Informative Path Planning for Active Field Mapping under Localization Uncertainty. ICRA (2020)
Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan I. Nieto
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter. CoRL (2020)
Le Chen, Yunke Ao, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, Cesar Cadena
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning. CoRR (2020)
Liang Zhang, Zexu Zhang, Roland Siegwart, Jen Jen Chung
A Connectivity-Prediction Algorithm and its Application in Active Cooperative Localization for Multi-Robot Systems. ICRA (2020)
Le Chen, Yunke Ao, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, César Cadena
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning. CoRL (2020)
Julien Kindle, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Roland Siegwart, Juan I. Nieto
Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning. CoRR (2020)
Kenneth Blomqvist, Michel Breyer, Andrei Cramariuc, Julian Förster, Margarita Grinvald, Florian Tschopp, Jen Jen Chung, Lionel Ott, Juan I. Nieto, Roland Siegwart
Go Fetch: Mobile Manipulation in Unstructured Environments. CoRR (2020)
Julian Förster, Juan I. Nieto, Lionel Ott, Roland Siegwart, Jen Jen Chung
Autonomous Extension of a Symbolic Mobile Manipulation Skill Set. CoRR (2020)
Daniel Dugas, Juan I. Nieto, Roland Siegwart, Jen Jen Chung
NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments. CoRR (2020)
Jen Jen Chung, Damjan Miklic, Lorenzo Sabattini, Kagan Tumer, Roland Siegwart
The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains. Auton. Agents Multi Agent Syst. 34 (1) (2020)
Álvaro Serra-Gómez, Bruno Brito, Hai Zhu, Jen Jen Chung, Javier Alonso-Mora
With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance. CoRR (2020)
Florian Achermann, Andrey Kolobov, Debadeepta Dey, Timo Hinzmann, Jen Jen Chung, Roland Siegwart, Nicholas R. J. Lawrance
MultiPoint: Cross-spectral registration of thermal and optical aerial imagery. CoRL (2020)
Leiv Andresen, Adrian Brandemuehl, Alex Hönger, Benson Kuan, Niclas Vödisch, Hermann Blum, Victor Reijgwart, Lukas Bernreiter, Lukas Schaupp, Jen Jen Chung, Mathias Bürki, Martin R. Oswald, Roland Siegwart, Abel Gawel
Fast and Accurate Mapping for Autonomous Racing. CoRR (2020)
Álvaro Serra-Gómez, Bruno Brito, Hai Zhu, Jen Jen Chung, Javier Alonso-Mora
With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance. IROS (2020)
Jen Jen Chung, Damjan Miklic, Lorenzo Sabattini, Kagan Tumer, Roland Siegwart
The Impact of Agent Definitions and Interactions on Multiagent Learning for Coordination. AAMAS (2019)
Rik Bähnemann, Nicholas R. J. Lawrance, Jen Jen Chung, Michael Pantic, Roland Siegwart, Juan I. Nieto
Revisiting Boustrophedon Coverage Path Planning as a Generalized Traveling Salesman Problem. CoRR (2019)
Margarita Grinvald, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Cesar Cadena, Roland Siegwart, Juan I. Nieto
Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery. CoRR (2019)
Liang Zhang, Souma Chowdhury, Roland Siegwart, Jen Jen Chung
Optimized motion strategy for active target localization of mobile robots with time-varying connectivity: Extended Abstract. MRS (2019)
Florian Achermann, Nicholas R. J. Lawrance, René Ranftl, Alexey Dosovitskiy, Jen Jen Chung, Roland Siegwart
Learning to Predict the Wind for Safe Aerial Vehicle Planning. ICRA (2019)
Jen Jen Chung, Carrie Rebhuhn, Connor Yates, Geoffrey A. Hollinger, Kagan Tumer
A multiagent framework for learning dynamic traffic management strategies. Auton. Robots 43 (6) (2019)
Jen Jen Chung, Andrew J. Smith, Ryan Skeele, Geoffrey A. Hollinger
Risk-aware graph search with dynamic edge cost discovery. Int. J. Robotics Res. 38 (2-3) (2019)
Margarita Grinvald, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Cesar Cadena, Roland Siegwart, Juan I. Nieto
Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery. IEEE Robotics Autom. Lett. 4 (3) (2019)
Rik Bähnemann, Nicholas R. J. Lawrance, Jen Jen Chung, Michael Pantic, Roland Siegwart, Juan I. Nieto
Revisiting Boustrophedon Coverage Path Planning as a Generalized Traveling Salesman Problem. FSR (2019)
Shauharda Khadka, Jen Jen Chung, Kagan Tumer
Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems. Evol. Comput. 27 (4) (2019)
Marija Popovic, Teresa A. Vidal-Calleja, Jen Jen Chung, Juan I. Nieto, Roland Siegwart
Informative Path Planning and Mapping for Active Sensing Under Localization Uncertainty. CoRR (2019)
Jen Jen Chung, Scott Chow, Kagan Tumer
When Less is More: Reducing Agent Noise with Probabilistically Learning Agents. AAMAS (2018)
Marija Popovic, Teresa A. Vidal-Calleja, Gregory Hitz, Jen Jen Chung, Inkyu Sa, Roland Siegwart, Juan I. Nieto
An informative path planning framework for UAV-based terrain monitoring. CoRR (2018)
Jen Jen Chung, Jan Faigl, Geoffrey A. Hollinger
Guest editorial: Special issue on online decision making in multi-robot coordination. Auton. Robots 42 (4) (2018)
Nicholas R. J. Lawrance, Jen Jen Chung, Geoffrey A. Hollinger
Fast Marching Adaptive Sampling. IEEE Robotics Autom. Lett. 2 (2) (2017)
Shauharda Khadka, Jen Jen Chung, Kagan Tumer
Memory-augmented multi-robot teams that learn to adapt. MRS (2017)
Shauharda Khadka, Jen Jen Chung, Kagan Tumer
Evolving memory-augmented neural architecture for deep memory problems. GECCO (2017)
Mitchell K. Colby, Theodore Duchow-Pressley, Jen Jen Chung, Kagan Tumer
Local Approximation of Difference Evaluation Functions. AAMAS (2016)
Ryan Skeele, Jen Jen Chung, Geoffrey A. Hollinger
Risk-Aware Graph Search with Dynamic Edge Cost Discovery. WAFR (2016)
Aida Rahmattalabi, Jen Jen Chung, Mitchell K. Colby, Kagan Tumer
D++: Structural credit assignment in tightly coupled multiagent domains. IROS (2016)
Carrie Rebhuhn, Ryan Skeele, Jen Jen Chung, Geoffrey A. Hollinger, Kagan Tumer
Learning to trick cost-based planners into cooperative behavior. IROS (2015)
Mitchell K. Colby, Jen Jen Chung, Kagan Tumer
Implicit adaptive multi-robot coordination in dynamic environments. IROS (2015)
Jen Jen Chung, Nicholas R. J. Lawrance, Salah Sukkarieh
Learning to soar: Resource-constrained exploration in reinforcement learning. Int. J. Robotics Res. 34 (2) (2015)
Jen Jen Chung, Nicholas R. J. Lawrance, Salah Sukkarieh
Gaussian processes for informative exploration in reinforcement learning. ICRA (2013)
Jen Jen Chung, Miguel Angel, Trujillo Soto, Salah Sukkarieh
A new utility function for smooth transition between exploration and exploitation of a wind energy field. IROS (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jen Jen Chung