Her primary areas of investigation include Robot, Artificial intelligence, Mobile robot, Computer vision and Humanoid robot. She works in the field of Robot, namely Robot control. Her study focuses on the intersection of Artificial intelligence and fields such as Human–computer interaction with connections in the field of Probabilistic analysis of algorithms.
Her Mobile robot research is multidisciplinary, incorporating perspectives in Human–robot interaction and Motion planning. Her work in the fields of Pose, Motion capture and Face detection overlaps with other areas such as Contextual image classification. Her study in Representation is interdisciplinary in nature, drawing from both Variety and Octree.
Maren Bennewitz mainly investigates Robot, Artificial intelligence, Computer vision, Mobile robot and Humanoid robot. Her Robot study combines topics from a wide range of disciplines, such as Real-time computing and Human–computer interaction. Her studies link Machine learning with Artificial intelligence.
Her work on Pose is typically connected to Obstacle as part of general Computer vision study, connecting several disciplines of science. The Mobile robot study which covers Cluster analysis that intersects with Hidden Markov model. Her Humanoid robot research integrates issues from Monocular, Stability, Gesture, Motion capture and Trajectory.
Maren Bennewitz mostly deals with Robot, Artificial intelligence, Object, Human–computer interaction and Humanoid robot. Her Mobile robot and Motion planning study in the realm of Robot connects with subjects such as Service. The concepts of her Artificial intelligence study are interwoven with issues in Machine learning and Computer vision.
Her work on Octree and Ground truth as part of general Computer vision study is frequently connected to Viewpoints and Sample, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Her Human–computer interaction research includes themes of Workspace and Motion. Her research in Humanoid robot intersects with topics in Degrees of freedom and Control theory.
Robot, Key, Mobile robot, Object and Motion are her primary areas of study. In her work, Maren Bennewitz performs multidisciplinary research in Robot and Mobile service. Maren Bennewitz has researched Mobile robot in several fields, including Control theory, Simulation and Motion planning.
Her study on Object is covered under Artificial intelligence. As part of her studies on Artificial intelligence, she often connects relevant subjects like Machine learning. In Motion, Maren Bennewitz works on issues like Humanoid robot, which are connected to Human–computer interaction.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
OctoMap: an efficient probabilistic 3D mapping framework based on octrees
Armin Hornung;Kai M. Wurm;Maren Bennewitz;Cyrill Stachniss.
Autonomous Robots (2013)
MINERVA: a second-generation museum tour-guide robot
S. Thrun;M. Bennewitz;W. Burgard;A.B. Cremers.
international conference on robotics and automation (1999)
Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva
Sebastian Thrun;Michael Beetz;Maren Bennewitz;Wolfram Burgard.
The International Journal of Robotics Research (2000)
Learning Motion Patterns of People for Compliant Robot Motion
Maren Bennewitz;Wolfram Burgard;Grzegorz Cielniak;Sebastian Thrun.
The International Journal of Robotics Research (2005)
Finding and optimizing solvable priority schemes for decoupled path planning techniques for teams of mobile robots
Maren Bennewitz;Wolfram Burgard;Sebastian Thrun.
Robotics and Autonomous Systems (2002)
Optimizing schedules for prioritized path planning of multi-robot systems
M. Bennewitz;W. Burgard;S. Thrun.
international conference on robotics and automation (2001)
Towards a humanoid museum guide robot that interacts with multiple persons
M. Bennewitz;F. Faber;D. Joho;M. Schreiber.
ieee-ras international conference on humanoid robots (2005)
Humanoid robot localization in complex indoor environments
Armin Hornung;Kai M. Wurm;Maren Bennewitz.
intelligent robots and systems (2010)
Whole-body model-predictive control applied to the HRP-2 humanoid
J. Koenemann;A. Del Prete;Y. Tassa;E. Todorov.
intelligent robots and systems (2015)
Real-time imitation of human whole-body motions by humanoids
Jonas Koenemann;Felix Burget;Maren Bennewitz.
international conference on robotics and automation (2014)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: