Jürgen Leitner

収録論文 19本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Deep Learning Approaches to Grasp Synthesis: A Review
  2022/7/1
• Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad)
  2021/9/1
• EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation
  2020/3/1
• A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing
  2019/11/1
• Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks
  2019/11/1
• Benchmarking Simulated Robotic Manipulation through a Real World Dataset
  2019/11/1
• Ctrl-Z: Recovering from Instability in Reinforcement Learning
  2019/10/1
• Quantifying the Reality Gap in Robotic Manipulation Tasks
  2018/11/1
• Coordinated Heterogeneous Distributed Perception based on Latent Space Representation
  2018/9/1
• Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter
  2018/9/1
• Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach
  2018/4/1
• The Limits and Potentials of Deep Learning for Robotics
  2018/4/1
• Adversarial Discriminative Sim-to-real Transfer of Visuo-motor Policies
  2017/9/1
• Visual Servoing from Deep Neural Networks
  2017/5/1
• Tuning Modular Networks with Weighted Losses for Hand-Eye Coordination
  2017/5/1
• What Would You Do? Acting by Learning to Predict
  2017/3/1
• Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies
  2016/10/1
• The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research
  2016/9/1
• Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control
  2015/11/1