Search Results - "Burgard, Wolfram Burgard"

Self-Supervised Model Adaptation for Multimodal Semantic Segmentation by Valada, Abhinav, Mohan, Rohit, Burgard, Wolfram

“…Learning to reliably perceive and understand the scene is an integral enabler for robots to operate in the real-world. This problem is inherently challenging…”
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Socially compliant mobile robot navigation via inverse reinforcement learning by Kretzschmar, Henrik, Spies, Markus, Sprunk, Christoph, Burgard, Wolfram

“…Mobile robots are increasingly populating our human environments. To interact with humans in a socially compliant way, these robots need to understand and…”
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The limits and potentials of deep learning for robotics by Sünderhauf, Niko, Brock, Oliver, Scheirer, Walter, Hadsell, Raia, Fox, Dieter, Leitner, Jürgen, Upcroft, Ben, Abbeel, Pieter, Burgard, Wolfram, Milford, Michael, Corke, Peter

“…The application of deep learning in robotics leads to very specific problems and research questions that are typically not addressed by the computer vision and…”
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CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks by Mees, Oier, Hermann, Lukas, Rosete-Beas, Erick, Burgard, Wolfram Burgard

“…General-purpose robots coexisting with humans in their environment must learn to relate human language to their perceptions and actions to be useful in a range…”
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OctoMap: an efficient probabilistic 3D mapping framework based on octrees by Hornung, Armin, Wurm, Kai M., Bennewitz, Maren, Stachniss, Cyrill, Burgard, Wolfram

“…Three-dimensional models provide a volumetric representation of space which is important for a variety of robotic applications including flying robots and…”
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Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields by Chebrolu, Nived, Lottes, Philipp, Schaefer, Alexander, Winterhalter, Wera, Burgard, Wolfram, Stachniss, Cyrill

“…There is an increasing interest in agricultural robotics and precision farming. In such domains, relevant datasets are often hard to obtain, as dedicated…”
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Recursive decentralized localization for multi-robot systems with asynchronous pairwise communication by Luft, Lukas, Schubert, Tobias, Roumeliotis, Stergios I., Burgard, Wolfram

“…This paper provides a fully decentralized algorithm for collaborative localization based on the extended Kalman filter. The major challenge in decentralized…”
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Lifelong localization in changing environments by Tipaldi, Gian Diego, Meyer-Delius, Daniel, Burgard, Wolfram

“…Robot localization systems typically assume that the environment is static, ignoring the dynamics inherent in most real-world settings. Corresponding scenarios…”
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Multimodal interaction-aware motion prediction for autonomous street crossing by Radwan, Noha, Burgard, Wolfram, Valada, Abhinav

“…For mobile robots navigating on sidewalks, the ability to safely cross street intersections is essential. Most existing approaches rely on the recognition of…”
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Efficient grid-based spatial representations for robot navigation in dynamic environments by Lau, Boris, Sprunk, Christoph, Burgard, Wolfram

“…In robotics, grid maps are often used for solving tasks like collision checking, path planning, and localization. Many approaches to these problems use…”
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Efficient and robust deep networks for semantic segmentation by Oliveira, Gabriel L, Bollen, Claas, Burgard, Wolfram, Brox, Thomas

“…This paper explores and investigates deep convolutional neural network architectures to increase the efficiency and robustness of semantic segmentation tasks…”
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Autonomous Robot Navigation in Highly Populated Pedestrian Zones by Kümmerle, Rainer, Ruhnke, Michael, Steder, Bastian, Stachniss, Cyrill, Burgard, Wolfram

“…In the past, there has been a tremendous amount of progress in the area of autonomous robot navigation, and a large variety of robots have been developed that…”
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Learning Motion Patterns of People for Compliant Robot Motion by Bennewitz, Maren, Burgard, Wolfram, Cielniak, Grzegorz, Thrun, Sebastian

“…Whenever people move through their environments they do not move randomly. Instead, they usually follow specific trajectories or motion patterns corresponding…”
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Deep semantic classification for 3D LiDAR data by Dewan, Ayush, Oliveira, Gabriel L., Burgard, Wolfram

“…Robots are expected to operate autonomously in dynamic environments. Understanding the underlying dynamic characteristics of objects is a key enabler for…”
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Towards efficient and scalable visual homing by Stelzer, Annett, Vayugundla, Mallikarjuna, Mair, Elmar, Suppa, Michael, Burgard, Wolfram

“…Visual homing describes the ability of a robot to autonomously return to its starting position along a previously traversed path using visual information. In…”
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Robust Monte Carlo localization for mobile robots by Thrun, Sebastian, Fox, Dieter, Burgard, Wolfram, Dellaert, Frank

“…Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilistic localization…”
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Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction by Eitel, Andreas, Hauff, Nico, Burgard, Wolfram

“…Instance segmentation of unknown objects from images is regarded as relevant for several robot skills including grasping, tracking and object sorting. Recent…”
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The dynamics of error processing in the human brain as reflected by high-gamma activity in noninvasive and intracranial EEG by Völker, Martin, Fiederer, Lukas D.J., Berberich, Sofie, Hammer, Jiří, Behncke, Joos, Kršek, Pavel, Tomášek, Martin, Marusič, Petr, Reinacher, Peter C., Coenen, Volker A., Helias, Moritz, Schulze-Bonhage, Andreas, Burgard, Wolfram, Ball, Tonio

“…Error detection in motor behavior is a fundamental cognitive function heavily relying on local cortical information processing. Neural activity in the…”
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Effective landmark placement for accurate and reliable mobile robot navigation by Beinhofer, Maximilian, Müller, Jörg, Burgard, Wolfram

“…Being able to navigate accurately is one of the fundamental capabilities of a mobile robot to effectively execute a variety of tasks including docking,…”
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Large scale graph-based SLAM using aerial images as prior information by Kümmerle, Rainer, Steder, Bastian, Dornhege, Christian, Kleiner, Alexander, Grisetti, Giorgio, Burgard, Wolfram

“…The problem of learning a map with a mobile robot has been intensively studied in the past and is usually referred to as the simultaneous localization and…”
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