Jen Jen Chung

Orcid: 0000-0001-7828-0741

According to our database1, Jen Jen Chung authored at least 63 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV.
CoRR, 2024

2023
Sampling-Based Path Planning in Highly Dynamic and Crowded Pedestrian Flow.
IEEE Trans. Intell. Transp. Syst., December, 2023

Robust Sampling-Based Control of Mobile Manipulators for Interaction With Articulated Objects.
IEEE Trans. Robotics, June, 2023

Probabilistic Network Topology Prediction for Active Planning: An Adaptive Algorithm and Application.
IEEE Trans. Robotics, February, 2023

Automatic extension of a symbolic mobile manipulation skill set.
Robotics Auton. Syst., 2023

Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps.
IROS, 2023

Neural Implicit Vision-Language Feature Fields.
IROS, 2023

Multi-Agent Path Integral Control for Interaction-Aware Motion Planning in Urban Canals.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

NeRFing it: Offline Object Segmentation Through Implicit Modeling.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Under the Sand: Navigation and Localization of a Micro Aerial Vehicle for Landmine Detection with Ground-Penetrating Synthetic Aperture Radar.
Field Robotics, March, 2022

Descriptellation: Deep Learned Constellation Descriptors for SLAM.
CoRR, 2022

It's Just Semantics: How to Get Robots to Understand the World the Way We Do.
Proceedings of the Robotics Research, 2022

FlowBot: Flow-based Modeling for Robot Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

NavDreams: Towards Camera-Only RL Navigation Among Humans.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Closed-Loop Next-Best-View Planning for Target-Driven Grasping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
Distributed PDOP Coverage Control: Providing Large-Scale Positioning Service Using a Multi-Robot System.
IEEE Robotics Autom. Lett., 2021

Under the Sand: Navigation and Localization of a Small Unmanned Aerial Vehicle for Landmine Detection with Ground Penetrating Synthetic Aperture Radar.
CoRR, 2021

CalQNet - Detection of Calibration Quality for Life-Long Stereo Camera Setups.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Online Informative Path Planning for Active Information Gathering of a 3D Surface.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learn to Path: Using neural networks to predict Dubins path characteristics for aerial vehicles in wind.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Efficient Multi-scale POMDPs for Robotic Object Search and Delivery.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Autonomous Extension of a Symbolic Mobile Manipulation Skill Set.
CoRR, 2020

Go Fetch: Mobile Manipulation in Unstructured Environments.
CoRR, 2020

Fast and Accurate Mapping for Autonomous Racing.
CoRR, 2020

Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning.
CoRR, 2020

An informative path planning framework for UAV-based terrain monitoring.
Auton. Robots, 2020

The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains.
Auton. Agents Multi Agent Syst., 2020

With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

IAN: Multi-Behavior Navigation Planning for Robots in Real, Crowded Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Accurate Mapping and Planning for Autonomous Racing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

A Connectivity-Prediction Algorithm and its Application in Active Cooperative Localization for Multi-Robot Systems.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Informative Path Planning for Active Field Mapping under Localization Uncertainty.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning.
Proceedings of the 4th Conference on Robot Learning, 2020

Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter.
Proceedings of the 4th Conference on Robot Learning, 2020

MultiPoint: Cross-spectral registration of thermal and optical aerial imagery.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery.
IEEE Robotics Autom. Lett., 2019

Risk-aware graph search with dynamic edge cost discovery.
Int. J. Robotics Res., 2019

Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems.
Evol. Comput., 2019

Informative Path Planning and Mapping for Active Sensing Under Localization Uncertainty.
CoRR, 2019

A multiagent framework for learning dynamic traffic management strategies.
Auton. Robots, 2019

Optimized motion strategy for active target localization of mobile robots with time-varying connectivity: Extended Abstract.
Proceedings of the 2019 International Symposium on Multi-Robot and Multi-Agent Systems, 2019

Learning to Predict the Wind for Safe Aerial Vehicle Planning.
Proceedings of the International Conference on Robotics and Automation, 2019

Revisiting Boustrophedon Coverage Path Planning as a Generalized Traveling Salesman Problem.
Proceedings of the Field and Service Robotics, 2019

The Impact of Agent Definitions and Interactions on Multiagent Learning for Coordination.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Guest editorial: Special issue on online decision making in multi-robot coordination.
Auton. Robots, 2018

When Less is More: Reducing Agent Noise with Probabilistically Learning Agents.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Fast Marching Adaptive Sampling.
IEEE Robotics Autom. Lett., 2017

Memory-augmented multi-robot teams that learn to adapt.
Proceedings of the 2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2017

Evolving memory-augmented neural architecture for deep memory problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Risk-Aware Graph Search with Dynamic Edge Cost Discovery.
Proceedings of the Algorithmic Foundations of Robotics XII, 2016

D++: Structural credit assignment in tightly coupled multiagent domains.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Local Approximation of Difference Evaluation Functions.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Learning to soar: Resource-constrained exploration in reinforcement learning.
Int. J. Robotics Res., 2015

Learning to trick cost-based planners into cooperative behavior.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Implicit adaptive multi-robot coordination in dynamic environments.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Learning to soar: exploration strategies in reinforcement learning for resource-constrained missions.
PhD thesis, 2014

2013
Gaussian processes for informative exploration in reinforcement learning.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012
A new utility function for smooth transition between exploration and exploitation of a wind energy field.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012


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