no code implementations • 20 Mar 2023 • Kenneth Blomqvist, Francesco Milano, Jen Jen Chung, Lionel Ott, Roland Siegwart
In this work, we present a zero-shot volumetric open-vocabulary semantic scene segmentation method.
no code implementations • 26 Sep 2022 • Kenneth Blomqvist, Lionel Ott, Jen Jen Chung, Roland Siegwart
Methods have recently been proposed that densely segment 3D volumes into classes using only color images and expert supervision in the form of sparse semantically annotated pixels.
1 code implementation • 23 Mar 2022 • Daniel Dugas, Olov Andersson, Roland Siegwart, Jen Jen Chung
In order to successfully solve the navigation task from only images, algorithms must be able to model the scene and its dynamics using only this channel of information.
no code implementations • 1 Mar 2022 • Chunwei Xing, Xinyu Sun, Andrei Cramariuc, Samuel Gull, Jen Jen Chung, Cesar Cadena, Roland Siegwart, Florian Tschopp
However, handcrafted topological descriptors are hard to tune and not robust to environmental noise, drastic perspective changes, object occlusion or misdetections.
1 code implementation • 19 Jan 2022 • Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart
In this work, we present a full object keypoint tracking toolkit, encompassing the entire process from data collection, labeling, model learning and evaluation.
1 code implementation • 4 Jan 2021 • Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan Nieto
General robot grasping in clutter requires the ability to synthesize grasps that work for previously unseen objects and that are also robust to physical interactions, such as collisions with other objects in the scene.
1 code implementation • 8 Dec 2020 • Daniel Dugas, Juan Nieto, Roland Siegwart, Jen Jen Chung
In this work, we design ways in which unsupervised learning can be used to assist reinforcement learning for robot navigation.
1 code implementation • 4 Nov 2020 • Le Chen, Yunke Ao, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, Cesar Cadena
Visual-inertial systems rely on precise calibrations of both camera intrinsics and inter-sensor extrinsics, which typically require manually performing complex motions in front of a calibration target.
no code implementations • NeurIPS Workshop TDA_and_Beyond 2020 • Simon Till Schönenberger, Anastasiia Varava, Vladislav Polianskii, Jen Jen Chung, Danica Kragic, Roland Siegwart
We present a Witness Autoencoder (W-AE) – an autoencoder that captures geodesic distances of the data in the latent space.
no code implementations • 25 Sep 2020 • Álvaro Serra-Gómez, Bruno Brito, Hai Zhu, Jen Jen Chung, Javier Alonso-Mora
Decentralized multi-robot systems typically perform coordinated motion planning by constantly broadcasting their intentions as a means to cope with the lack of a central system coordinating the efforts of all robots.
no code implementations • 2 Apr 2020 • Kenneth Blomqvist, Michel Breyer, Andrei Cramariuc, Julian Förster, Margarita Grinvald, Florian Tschopp, Jen Jen Chung, Lionel Ott, Juan Nieto, Roland Siegwart
With humankind facing new and increasingly large-scale challenges in the medical and domestic spheres, automation of the service sector carries a tremendous potential for improved efficiency, quality, and safety of operations.
1 code implementation • 25 Feb 2020 • Julien Kindle, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Roland Siegwart, Juan Nieto
Mobile manipulation is usually achieved by sequentially executing base and manipulator movements.
1 code implementation • 22 Jul 2019 • Rik Bähnemann, Nicholas Lawrance, Jen Jen Chung, Michael Pantic, Roland Siegwart, Juan Nieto
In this paper, we present a path planner for low-altitude terrain coverage in known environments with unmanned rotary-wing micro aerial vehicles (MAVs).
1 code implementation • IEEE ROBOTICS AND AUTOMATION LETTERS 2019 • Margarita Grinvald, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Cesar Cadena, Roland Siegwart, Juan Nieto
To autonomously navigate and plan interactions in real-world environments, robots require the ability to robustly perceive and map complex, unstructured surrounding scenes.
1 code implementation • 8 Sep 2018 • Marija Popovic, Teresa Vidal-Calleja, Gregory Hitz, Jen Jen Chung, Inkyu Sa, Roland Siegwart, Juan Nieto
Unmanned Aerial Vehicles (UAVs) represent a new frontier in a wide range of monitoring and research applications.