A new utility function for smooth transition between exploration and exploitation of a wind energy field. - Jen Jen Chung; Miguel Angel Trujillo Soto; Salah Sukkarieh (IROS, 2012)

Gaussian processes for informative exploration in reinforcement learning. - Jen Jen Chung; Nicholas R. J. Lawrance; Salah Sukkarieh (ICRA, 2013)

Learning to soar: exploration strategies in reinforcement learning for resource-constrained missions. - Jen Jen Chung (2014)

Implicit adaptive multi-robot coordination in dynamic environments. - Mitchell K. Colby; Jen Jen Chung; Kagan Tumer (IROS, 2015)

Learning to trick cost-based planners into cooperative behavior. - Carrie Rebhuhn; Ryan Skeele; Jen Jen Chung; Geoffrey A. Hollinger; Kagan Tumer (IROS, 2015)

Learning to soar: Resource-constrained exploration in reinforcement learning. - Jen Jen Chung; Nicholas R. J. Lawrance; Salah Sukkarieh (Int. J. Robotics Res., 2015)

Local Approximation of Difference Evaluation Functions. - Mitchell K. Colby; Theodore Duchow-Pressley; Jen Jen Chung; Kagan Tumer (AAMAS, 2016)

D++: Structural credit assignment in tightly coupled multiagent domains. - Aida Rahmattalabi; Jen Jen Chung; Mitchell K. Colby; Kagan Tumer (IROS, 2016)

Risk-Aware Graph Search with Dynamic Edge Cost Discovery. - Ryan Skeele; Jen Jen Chung; Geoffrey A. Hollinger (WAFR, 2016)

Evolving memory-augmented neural architecture for deep memory problems. - Shauharda Khadka; Jen Jen Chung; Kagan Tumer (GECCO, 2017)

Memory-augmented multi-robot teams that learn to adapt. - Shauharda Khadka; Jen Jen Chung; Kagan Tumer (MRS, 2017)

Fast Marching Adaptive Sampling. - Nicholas R. J. Lawrance; Jen Jen Chung; Geoffrey A. Hollinger (IEEE Robotics Autom. Lett., 2017)

When Less is More: Reducing Agent Noise with Probabilistically Learning Agents. - Jen Jen Chung; Scott Chow; Kagan Tumer (AAMAS, 2018)

Guest editorial: Special issue on online decision making in multi-robot coordination. - Jen Jen Chung; Jan Faigl; Geoffrey A. Hollinger (Auton. Robots, 2018)

The Impact of Agent Definitions and Interactions on Multiagent Learning for Coordination. - Jen Jen Chung; Damjan Miklic; Lorenzo Sabattini; Kagan Tumer; Roland Siegwart (AAMAS, 2019)

Revisiting Boustrophedon Coverage Path Planning as a Generalized Traveling Salesman Problem. - Rik Bähnemann; Nicholas R. J. Lawrance; Jen Jen Chung; Michael Pantic; Roland Siegwart; Juan I. Nieto 001 (FSR, 2019)

Learning to Predict the Wind for Safe Aerial Vehicle Planning. - Florian Achermann; Nicholas R. J. Lawrance; René Ranftl; Alexey Dosovitskiy; Jen Jen Chung; Roland Siegwart (ICRA, 2019)

Optimized motion strategy for active target localization of mobile robots with time-varying connectivity: Extended Abstract. - Liang Zhang; Souma Chowdhury; Roland Siegwart; Jen Jen Chung (MRS, 2019)

A multiagent framework for learning dynamic traffic management strategies. - Jen Jen Chung; Carrie Rebhuhn; Connor Yates; Geoffrey A. Hollinger; Kagan Tumer (Auton. Robots, 2019)

Informative Path Planning and Mapping for Active Sensing Under Localization Uncertainty. - Marija Popovic; Teresa A. Vidal-Calleja; Jen Jen Chung; Juan I. Nieto 001; Roland Siegwart (CoRR, 2019)

Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems. - Shauharda Khadka; Jen Jen Chung; Kagan Tumer (Evol. Comput., 2019)

Risk-aware graph search with dynamic edge cost discovery. - Jen Jen Chung; Andrew J. Smith; Ryan Skeele; Geoffrey A. Hollinger (Int. J. Robotics Res., 2019)

Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery. - Margarita Grinvald; Fadri Furrer; Tonci Novkovic; Jen Jen Chung; Cesar Cadena 001; Roland Siegwart; Juan I. Nieto 001 (IEEE Robotics Autom. Lett., 2019)

MultiPoint: Cross-spectral registration of thermal and optical aerial imagery. - Florian Achermann; Andrey Kolobov; Debadeepta Dey; Timo Hinzmann; Jen Jen Chung; Roland Siegwart; Nicholas R. J. Lawrance (CoRL, 2020)

Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter. - Michel Breyer; Jen Jen Chung; Lionel Ott; Roland Siegwart; Juan I. Nieto 001 (CoRL, 2020)

Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning. - Le Chen; Yunke Ao; Florian Tschopp; Andrei Cramariuc; Michel Breyer; Jen Jen Chung; Roland Siegwart; César Cadena 001 (CoRL, 2020)

Informative Path Planning for Active Field Mapping under Localization Uncertainty. - Marija Popovic; Teresa A. Vidal-Calleja; Jen Jen Chung; Juan I. Nieto 001; Roland Siegwart (ICRA, 2020)

A Connectivity-Prediction Algorithm and its Application in Active Cooperative Localization for Multi-Robot Systems. - Liang Zhang; Zexu Zhang; Roland Siegwart; Jen Jen Chung (ICRA, 2020)

Accurate Mapping and Planning for Autonomous Racing. - 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; et al. (IROS, 2020)

IAN: Multi-Behavior Navigation Planning for Robots in Real, Crowded Environments. - Daniel Dugas; Juan I. Nieto 001; Roland Siegwart; Jen Jen Chung (IROS, 2020)

With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance. - Álvaro Serra-Gómez; Bruno Brito; Hai Zhu 002; Jen Jen Chung; Javier Alonso-Mora (IROS, 2020)

The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains. - Jen Jen Chung; Damjan Miklic; Lorenzo Sabattini; Kagan Tumer; Roland Siegwart (Auton. Agents Multi Agent Syst., 2020)

An informative path planning framework for UAV-based terrain monitoring. - Marija Popovic; Teresa A. Vidal-Calleja; Gregory Hitz; Jen Jen Chung; Inkyu Sa; Roland Siegwart; Juan I. Nieto 001 (Auton. Robots, 2020)

Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning. - Julien Kindle; Fadri Furrer; Tonci Novkovic; Jen Jen Chung; Roland Siegwart; Juan I. Nieto 001 (CoRR, 2020)

Fast and Accurate Mapping for Autonomous Racing. - 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; et al. (CoRR, 2020)

Go Fetch: Mobile Manipulation in Unstructured Environments. - Kenneth Blomqvist; Michel Breyer; Andrei Cramariuc; Julian Förster; Margarita Grinvald; Florian Tschopp; Jen Jen Chung; Lionel Ott; Juan I. Nieto 001; Roland Siegwart (CoRR, 2020)

Autonomous Extension of a Symbolic Mobile Manipulation Skill Set. - Julian Förster; Juan I. Nieto 001; Lionel Ott; Roland Siegwart; Jen Jen Chung (CoRR, 2020)

NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments. - Daniel Dugas; Juan I. Nieto 001; Roland Siegwart; Jen Jen Chung (ICRA, 2021)

Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd. - Fabien Grzeskowiak; David J. Gonon; Daniel Dugas; Diego Paez-Granados; Jen Jen Chung; Juan I. Nieto 001; Roland Siegwart; Aude Billard; Marie Babel; Julien Pettré (ICRA, 2021)

Efficient Multi-scale POMDPs for Robotic Object Search and Delivery. - Luc Holzherr; Julian Förster; Michel Breyer; Juan I. Nieto 001; Roland Siegwart; Jen Jen Chung (ICRA, 2021)

Learn to Path: Using neural networks to predict Dubins path characteristics for aerial vehicles in wind. - Trevor Phillips; Maximilian Stölzle; Erick Turricelli; Florian Achermann; Nicholas R. J. Lawrance; Roland Siegwart; Jen Jen Chung (ICRA, 2021)

Online Informative Path Planning for Active Information Gathering of a 3D Surface. - Hai Zhu 002; Jen Jen Chung; Nicholas R. J. Lawrance; Roland Siegwart; Javier Alonso-Mora (ICRA, 2021)

CalQNet - Detection of Calibration Quality for Life-Long Stereo Camera Setups. - Jiapeng Zhong; Zheyu Ye; Andrei Cramariuc; Florian Tschopp; Jen Jen Chung; Roland Siegwart; Cesar Cadena 001 (IV, 2021)

Under the Sand: Navigation and Localization of a Small Unmanned Aerial Vehicle for Landmine Detection with Ground Penetrating Synthetic Aperture Radar. - Rik Bähnemann; Nicholas R. J. Lawrance; Lucas Streichenberg; Jen Jen Chung; Michael Pantic; Alexander Grathwohl; Christian Waldschmidt; Roland Siegwart (CoRR, 2021)

Distributed PDOP Coverage Control: Providing Large-Scale Positioning Service Using a Multi-Robot System. - Liang Zhang; Zexu Zhang; Roland Siegwart; Jen Jen Chung (IEEE Robotics Autom. Lett., 2021)

Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses. - Kenneth Blomqvist; Jen Jen Chung; Lionel Ott; Roland Siegwart (ICPR, 2022)

Closed-Loop Next-Best-View Planning for Target-Driven Grasping. - Michel Breyer; Lionel Ott; Roland Siegwart; Jen Jen Chung (IROS, 2022)

NavDreams: Towards Camera-Only RL Navigation Among Humans. - Daniel Dugas; Olov Andersson; Roland Siegwart; Jen Jen Chung (IROS, 2022)

FlowBot: Flow-based Modeling for Robot Navigation. - Daniel Dugas; Kuanqi Cai; Olov Andersson; Nicholas R. J. Lawrance; Roland Siegwart; Jen Jen Chung (IROS, 2022)

It's Just Semantics: How to Get Robots to Understand the World the Way We Do. - Jen Jen Chung; Julian Förster; Paula Wulkop; Lionel Ott; Nicholas R. J. Lawrance; Roland Siegwart (ISRR, 2022)

Descriptellation: Deep Learned Constellation Descriptors for SLAM. - Chunwei Xing; Xinyu Sun; Andrei Cramariuc; Samuel Gull; Jen Jen Chung; César Cadena 001; Roland Siegwart; Florian Tschopp (CoRR, 2022)

Under the Sand: Navigation and Localization of a Micro Aerial Vehicle for Landmine Detection with Ground-Penetrating Synthetic Aperture Radar. - Rik Bähnemann; Nicholas R. J. Lawrance; Lucas Streichenberg; Jen Jen Chung; Michael Pantic; Alexander Grathwohl; Christian Waldschmidt; Roland Siegwart (Field Robotics, 2022)

NeRFing it: Offline Object Segmentation Through Implicit Modeling. - Kenneth Blomqvist; Jen Jen Chung; Lionel Ott; Roland Siegwart (ICRA, 2023)

On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications. - Matteo Iovino; Julian Förster; Pietro Falco; Jen Jen Chung; Roland Siegwart; Christian Smith (ICRA, 2023)

Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects. - Giulio Schiavi; Paula Wulkop; Giuseppe Rizzi; Lionel Ott; Roland Siegwart; Jen Jen Chung (ICRA, 2023)

Multi-Agent Path Integral Control for Interaction-Aware Motion Planning in Urban Canals. - Lucas Streichenberg; Elia Trevisan; Jen Jen Chung; Roland Siegwart; Javier Alonso-Mora (ICRA, 2023)

Neural Implicit Vision-Language Feature Fields. - Kenneth Blomqvist; Francesco Milano 001; Jen Jen Chung; Lionel Ott; Roland Siegwart (IROS, 2023)

Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps. - Kenneth Blomqvist; Lionel Ott; Jen Jen Chung; Roland Siegwart (IROS, 2023)

Automatic extension of a symbolic mobile manipulation skill set. - Julian Förster; Lionel Ott; Juan I. Nieto 001; Nicholas R. J. Lawrance; Roland Siegwart; Jen Jen Chung (Robotics Auton. Syst., 2023)

Probabilistic Network Topology Prediction for Active Planning: An Adaptive Algorithm and Application. - Liang Zhang; Zexu Zhang; Roland Siegwart; Jen Jen Chung (IEEE Trans. Robotics, 2023)

Robust Sampling-Based Control of Mobile Manipulators for Interaction With Articulated Objects. - Giuseppe Rizzi; Jen Jen Chung; Abel Gawel; Lionel Ott; Marco Tognon; Roland Siegwart (IEEE Trans. Robotics, 2023)

Sampling-Based Path Planning in Highly Dynamic and Crowded Pedestrian Flow. - Kuanqi Cai; Weinan Chen; Daniel Dugas; Roland Siegwart; Jen Jen Chung (IEEE Trans. Intell. Transp. Syst., 2023)

Watching the Air Rise: Learning-Based Single-Frame Schlieren Detection. - Florian Achermann; Julian Andreas Haug; Tobias Zumsteg; Nicholas R. J. Lawrance; Jen Jen Chung; Andrey Kolobov; Roland Siegwart (ICRA, 2024)

NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models. - Francesco Milano 001; Jen Jen Chung; Hermann Blum; Roland Siegwart; Lionel Ott (IROS, 2024)

On Learning Scene-aware Generative State Abstractions for Task-level Mobile Manipulation Planning. - Julian Förster; Jen Jen Chung; Lionel Ott; Roland Siegwart (IROS, 2024)

Reinforcement Learning for Active Search and Grasp in Clutter. - Thomas Pitcher; Julian Förster; Jen Jen Chung (IROS, 2024)

WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV. - Florian Achermann; Thomas Stastny; Bogdan Danciu; Andrey Kolobov; Jen Jen Chung; Roland Siegwart; Nicholas R. J. Lawrance (CoRR, 2024)

SoGraB: A Visual Method for Soft Grasping Benchmarking and Evaluation. - Benjamin G. Greenland; Joshua Pinskier; Xing Wang 016; Daniel Nguyen; Ge Shi; Tirthankar Bandyopadhyay; Jen Jen Chung; David Howard 001 (RoboSoft, 2025)

DexGrip: Multi-modal Soft Gripper with Dexterous Grasping and In-hand Manipulation Capacity. - Xing Wang 016; Liam Horrigan; Joshua Pinskier; Ge Shi; Vinoth Viswanathan; Lois Liow; Tirthankar Bandyopadhyay; Jen Jen Chung; David Howard 001 (RoboSoft, 2025)

Comparison Between Behavior Trees and Finite State Machines. - Matteo Iovino; Julian Förster; Pietro Falco; Jen Jen Chung; Roland Siegwart; Christian Smith (IEEE Trans Autom. Sci. Eng., 2025)

Learning Affordances from Interactive Exploration using an Object-level Map. - Paula Wulkop; Halil Umut Ozdemir; Antonia Hüfner; Jen Jen Chung; Roland Siegwart; Lionel Ott (CoRR, 2025)