Jen Jen Chung

Videos

WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small uncrewed aerial vehicle, 2024

Florian Achermann, Thomas Stastny, Bogdan Danciu, Andrey Kolobov, Jen Jen Chung, Roland Siegwart and Nicholas Lawrance

Watching the air rise: Learning-based single-frame schlieren detection, 2024

Florian Achermann, Julian Andreas Haug, Tobias Zumsteg, Nicholas Lawrance, Jen Jen Chung, Andrey Kolobov and Roland Siegwart

Robust sampling-based control of mobile manipulators for interaction with articulated objects, 2023

Giuseppe Rizzi, Jen Jen Chung, Abel Gawel, Lionel Ott, Marco Tognon and Roland Siegwart

Closed-loop next-best-view planning for target-driven grasping, 2022

Michel Breyer, Lionel Ott, Roland Siegwart and Jen Jen Chung

NavDreams: Towards camera-only RL navigation among humas, 2022

Daniel Dugas, Olov Andersson, Roland Siegwart and Jen Jen Chung

Under the Sand: A UAV for humanitarian demining, 2022

Rik Bähnemann, Nicholas Lawrance, Lucas Streichenberg, Jen Jen Chung, Michael Pantic, Alexander Grathwohl, Christian Waldschmidt and Roland Siegwart

Semi-automatic 3D object keypoint annotation and detection for the masses, 2022

Kenneth Blomqvist, Jen Jen Chung, Lionel Ott and Roland Siegwart

Aerial manipulation with an omnidirectional flying platform, 2021

Karen Bodie, Mike Allenspach, Michel Breyer, Maximilian Brunner, Michael Pantic, Weixuan Zhang, Jen Jen Chung, Mina Kamel, Nicholas Lawrance, Juan Nieto, Lionel Ott, Marco Tognon and Roland Siegwart

IAN: Multi-behavior navigation planning for robots in real, crowded environments, 2020

Daniel Dugas, Juan Nieto, Roland Siegwart and Jen Jen Chung

Volumetric Grasping Network: Real-time 6 DOF grasp detection in clutter, 2020

Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart and Juan Nieto

Go Fetch: Mobile manipulation in unstructured environments, 2020

Kenneth Blomqvist, Michel Breyer, Andrei Cramariuc, Julian Förster, Margarita Grinvald, Florian Tschopp, Jen Jen Chung, Lionel Ott, Juan Nieto and Roland Siegwart

Whole-body control of a mobile manipulator using end-to-end reinforcement learning, 2020

Julien Kindle, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Roland Siegwart and Juan Nieto

Accurate mapping and planning for autonomous racing, 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 and Abel Gawel

Volumetric instance-aware semantic mapping and 3D object discovery, 2019

Margarita Grinvald, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Cesar Cadena, Roland Siegwart and Juan Nieto

Revisiting boustrophedon coverage path planning as a Generalized Traveling Salesman Problem, 2019

Rik Bähnemann, Nicholas R.J. Lawrance, Jen Jen Chung, Michael Pantic, Roland Siegwart and Juan Nieto

Learning to predict the wind for safe aerial vehicle planning, 2019

Florian Achermann, Nicholas R.J. Lawrance, René Ranftl, Alexey Dosovitskiy, Jen Jen Chung and Roland Siegwart

RAGS flight trials, 2017

With thanks to Andrew Smith, Ryan Skeele and Geoffrey Hollinger.

AADI Rover domain experiments, 2015

With thanks to the AADI and RDML members for acting as sensing targets for this experiment. Please see the associated 2016 AAMAS paper for details on the experiments.

CATEC VICON experiments, 2012

With thanks to the Center for Advanced Aerospace Technologies for the use of their amazing facilities. Please see the associated 2012 ICRA paper for details on the experiments.

ACFR, Marulan

Skywalker flights, 2012

With thanks to Nicholas Lawrance, Joseph Nguyen, Daniel Wilson

Locust tracking trials, 2011

With thanks to Tariq Abuhashim, Muhammad Esa Attia, Graham Brooker, Jerome Buhl, Abdallah Kassir, Jeremy Randle, Zhe Xu