Search Results - "Furrer, Fadri"

Modelify: An approach to incrementally build 3D object models for map completion by Furrer, Fadri, Novkovic, Tonci, Fehr, Marius, Grinvald, Margarita, Cadena, Cesar, Nieto, Juan, Siegwart, Roland

“…The capabilities of discovering new knowledge and updating the previously acquired one are crucial for deploying autonomous robots in unknown and changing…”
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VersaVIS-An Open Versatile Multi-Camera Visual-Inertial Sensor Suite by Tschopp, Florian, Riner, Michael, Fehr, Marius, Bernreiter, Lukas, Furrer, Fadri, Novkovic, Tonci, Pfrunder, Andreas, Cadena, Cesar, Siegwart, Roland, Nieto, Juan

“…Robust and accurate pose estimation is crucial for many applications in mobile robotics. Extending visual Simultaneous Localization and Mapping (SLAM) with…”
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CLUBS: An RGB-D dataset with cluttered box scenes containing household objects by Novkovic, Tonci, Furrer, Fadri, Panjek, Marko, Grinvald, Margarita, Siegwart, Roland, Nieto, Juan

“…With the progress of machine learning, the demand for realistic data with high-quality annotations has been thriving. In order to generalize well, considerable…”
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Incremental Object Database: Building 3D Models from Multiple Partial Observations by Furrer, Fadri, Novkovic, Tonci, Fehr, Marius, Gawel, Abel, Grinvald, Margarita, Sattler, Torsten, Siegwart, Roland, Nieto, Juan

“…Collecting 3D object data sets involves a large amount of manual work and is time consuming. Getting complete models of objects either requires a 3D scanner…”
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Fast nonlinear Model Predictive Control for unified trajectory optimization and tracking by Neunert, Michael, de Crousaz, Cedric, Furrer, Fadri, Kamel, Mina, Farshidian, Farbod, Siegwart, Roland, Buchli, Jonas

“…This paper presents a framework for real-time, full-state feedback, unconstrained, nonlinear model predictive control that combines trajectory optimization and…”
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TSDF-based change detection for consistent long-term dense reconstruction and dynamic object discovery by Fehr, Marius, Furrer, Fadri, Dryanovski, Ivan, Sturm, Jurgen, Gilitschenski, Igor, Siegwart, Roland, Cadena, Cesar

“…Robots that are operating for extended periods of time need to be able to deal with changes in their environment and represent them adequately in their maps…”
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Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery by Grinvald, Margarita, Furrer, Fadri, Novkovic, Tonci, Chung, Jen Jen, Cadena, Cesar, Siegwart, Roland, Nieto, Juan

“…To autonomously navigate and plan interactions in real-world environments, robots require the ability to robustly perceive and map complex, unstructured…”
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Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning by Breyer, Michel, Furrer, Fadri, Novkovic, Tonci, Siegwart, Roland, Nieto, Juan

“…Enabling autonomous robots to interact in unstructured environments with dynamic objects requires manipulation capabilities that can deal with clutter,…”
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Object Finding in Cluttered Scenes Using Interactive Perception by Novkovic, Tonci, Pautrat, Remi, Furrer, Fadri, Breyer, Michel, Siegwart, Roland, Nieto, Juan

“…Object finding in clutter is a skill that requires perception of the environment and in many cases physical interaction. In robotics, interactive perception…”
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Autonomous robotic stone stacking with online next best object target pose planning by Furrer, Fadri, Wermelinger, Martin, Yoshida, Hironori, Gramazio, Fabio, Kohler, Matthias, Siegwart, Roland, Hutter, Marco

“…Predominately, robotic construction is applied as prefabrication in structured indoor environments with standard building materials. Our work, on the other…”
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LCD - Line Clustering and Description for Place Recognition by Taubner, Felix, Tschopp, Florian, Novkovic, Tonci, Siegwart, Roland, Furrer, Fadri

“…Current research on visual place recognition mostly focuses on aggregating local visual features of an image into a single vector representation. Therefore,…”
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LCD -- Line Clustering and Description for Place Recognition by Taubner, Felix, Tschopp, Florian, Novkovic, Tonci, Siegwart, Roland, Furrer, Fadri

“…2020 International Conference on 3D Vision (3DV) Current research on visual place recognition mostly focuses on aggregating local visual features of an image…”
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Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning by Kindle, Julien, Furrer, Fadri, Novkovic, Tonci, Chung, Jen Jen, Siegwart, Roland, Nieto, Juan

“…Mobile manipulation is usually achieved by sequentially executing base and manipulator movements. This simplification, however, leads to a loss in efficiency…”
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Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning by Breyer, Michel, Furrer, Fadri, Novkovic, Tonci, Siegwart, Roland, Nieto, Juan

“…Enabling autonomous robots to interact in unstructured environments with dynamic objects requires manipulation capabilities that can deal with clutter,…”
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Object Finding in Cluttered Scenes Using Interactive Perception by Novkovic, Tonci, Pautrat, Remi, Furrer, Fadri, Breyer, Michel, Siegwart, Roland, Nieto, Juan

“…Object finding in clutter is a skill that requires perception of the environment and in many cases physical interaction. In robotics, interactive perception…”
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Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery by Grinvald, Margarita, Furrer, Fadri, Novkovic, Tonci, Chung, Jen Jen, Cadena, Cesar, Siegwart, Roland, Nieto, Juan

“…IEEE Robotics and Automation Letters, vol. 4, no. 3, pp. 3037-3044, July 2019 To autonomously navigate and plan interactions in real-world environments, robots…”
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VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite by Tschopp, Florian, Riner, Michael, Fehr, Marius, Bernreiter, Lukas, Furrer, Fadri, Novkovic, Tonci, Pfrunder, Andreas, Cadena, Cesar, Siegwart, Roland, Nieto, Juan

“…Sensors 2020, 20(5), 1439 Robust and accurate pose estimation is crucial for many applications in mobile robotics. Extending visual Simultaneous Localization…”
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Incremental Object Database: Building 3D Models from Multiple Partial Observations by Furrer, Fadri, Novkovic, Tonci, Fehr, Marius, Gawel, Abel, Grinvald, Margarita, Sattler, Torsten, Siegwart, Roland, Nieto, Juan

“…Collecting 3D object datasets involves a large amount of manual work and is time consuming. Getting complete models of objects either requires a 3D scanner…”
Get full text