Aditya Mandalika

収録論文 7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

• Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning
  2021/4/1
• Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges
  2020/2/1
• LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning
  2019/7/1
• Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles
  2019/4/1
• Bayesian Policy Optimization for Model Uncertainty
  2018/10/1
• Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions
  2018/10/1
• Lazy Receding Horizon A* for Efficient Path Planning in Graphs with Expensive-to-Evaluate Edges
  2018/3/1