Rüdiger Dillmann
Control and Systems Engineering · 1999–2016
A researcher in the Science corpus: 10 papers; trusts 10 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 35 citations into it; #599 of 8,257 by trust here, #709 by citations
- Artificial Intelligence — 22 citations into it; #32,508 of 35,345 by trust here, #26,682 by citations
- Computer Vision and Pattern Recognition — 19 citations into it; #8,419 of 21,575 by trust here, #12,172 by citations
- Robotics & Control — 17 citations into it; #164 of 609 by trust here, #456 by citations
- Reinforcement Learning — 14 citations into it
- Biomedical Engineering — 13 citations into it; #686 of 10,734 by trust here, #4,314 by citations
Whom Rüdiger Dillmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stefan Schaal
- Tom Michael Mitchell
- Monica N. Nicolescu
- Daniel Wagner
- Yasuo Kuniyoshi
- Richard M. Keller
- Maja J. Mataric
- Dieter Schmalstieg
- David G. Lowe
Who trusts Rüdiger Dillmann overall
- Sylvain Calinon
- Panagiota Tsarouchi
- Micha Hersch
- Javier V. Gómez
- Aude Gemma Billard
- Sotiris Makris
- Florent Guenter
- Berk Çalli
- David Álvarez
- Jeffrey Mahler
Papers from Rüdiger Dillmann's perspective
Ordered by how strongly the researchers Rüdiger Dillmann trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet: A large-scale hierarchical image database
- Distinctive Image Features from Scale-Invariant Keypoints
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics (2012) — 275 citations
- Visual servoing for humanoid grasping and manipulation tasks (2008) — 92 citations
- Learning from Humans (2016) — 222 citations
- Programming by demonstration: dual-arm manipulation tasks for humanoid robots (2004) — 152 citations
- Teaching and learning of robot tasks via observation of human performance (2004) — 345 citations
- Robot Programming by Demonstration (2008) — 660 citations
- ARMAR-III: An Integrated Humanoid Platform for Sensory-Motor Control (2006) — 448 citations
- Autonomous acquisition of pushing actions to support object grasping with a humanoid robot (2009) — 53 citations
- The OpenGRASP benchmarking suite: An environment for the comparative analysis of grasping and dexterous manipulation (2011) — 55 citations
- Adaptive periodic movement control for the four legged walking machine BISAM (1999)