David Filliat

収録論文 13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

• Multimodal embodiment-aware navigation transformer
  2026/4/1
• An Open-Source LiDAR and Monocular Off-Road Autonomous Navigation Stack
  2026/4/1
• NAMOUnc: Navigation Among Movable Obstacles with Decision Making on Uncertainty Interval
  2025/9/1
• POAR: Efficient Policy Optimization via Online Abstract State Representation Learning
  2021/9/1
• SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences
  2021/7/1
• Evaluating Robustness over High Level Driving Instruction for Autonomous Driving
  2021/5/1
• DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
  2020/5/1
• Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
  2019/7/1
• Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
  2019/6/1
• Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
  2019/1/1
• Exploring to learn visual saliency: The RL-IAC approach
  2018/4/1
• Unsupervised state representation learning with robotic priors: a robustness benchmark
  2017/9/1
• Integration of navigation and action selection functionalities in a computational model of cortico-basal ganglia-thalamo-cortical loops
  2006/1/1