Daniel D. Lee

収録論文 14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

• TimewarpVAE: Simultaneous Time-Warping and Representation Learning of Trajectories
  2023/10/1
• EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks
  2023/4/1
• Simultaneous Object Reconstruction and Grasp Prediction using a Camera-centric Object Shell Representation
  2021/9/1
• Learning Continuous Cost-to-Go Functions for Non-holonomic Systems
  2021/3/1
• Cost-to-Go Function Generating Networks for High Dimensional Motion Planning
  2020/12/1
• Fast Motion Understanding with Spatiotemporal Neural Networks and Dynamic Vision Sensors
  2020/11/1
• Learning to Generate Cost-to-Go Functions for Efficient Motion Planning
  2020/10/1
• Learning to Track Dynamic Targets in Partially Known Environments
  2020/6/1
• Learning Q-network for Active Information Acquisition
  2019/10/1
• Higher Order Function Networks for View Planning and Multi-View Reconstruction
  2019/10/1
• Probabilistically Safe Corridors to Guide Sampling-Based Motion Planning
  2019/1/1
• Learning Implicit Sampling Distributions for Motion Planning
  2018/6/1
• End-to-End Navigation in Unknown Environments using Neural Networks
  2017/7/1
• Neural Network Memory Architectures for Autonomous Robot Navigation
  2017/5/1