Elmar Rueckert

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研究焦点

主要成就

代表论文

1. 1
   Learning inverse dynamics models in O(n) time with LSTM networks

   84 次引用 · 2017
2. 2
   A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction

   55 次引用 · 2016
3. 3
   Recurrent Spiking Networks Solve Planning Tasks

   54 次引用 · 2016
4. 4
   Extracting low-dimensional control variables for movement primitives

   40 次引用 · 2015
5. 5
   Learning soft task priorities for control of redundant robots

   34 次引用 · 2016
6. 6
   Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks

   23 次引用 · 2018
7. 7
   Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

   22 次引用 · 2024
8. 8
   Probabilistic movement primitives under unknown system dynamics

   21 次引用 · 2018
9. 9
   Predictive Exoskeleton Control for Arm-Motion Augmentation Based on Probabilistic Movement Primitives Combined With a Flow Controller

   19 次引用 · 2021
10. 10
    Model-free Probabilistic Movement Primitives for physical interaction

    18 次引用 · 2015

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