Brijen Thananjeyan

关于

暂无简介。

研究焦点

主要成就

代表论文

1. 1
   Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor

   109 次引用 · 2020
2. 2
   Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data

   103 次引用 · 2020
3. 3
   Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks

   90 次引用 · 2020
4. 4
   SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards

   66 次引用 · 2018
5. 5
   Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics

   55 次引用 · 2021
6. 6
   Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot

   39 次引用 · 2020
7. 7
   Automating Surgical Peg Transfer: Calibration With Deep Learning Can Exceed Speed, Accuracy, and Consistency of Humans

   37 次引用 · 2022
8. 8
   Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation

   33 次引用 · 2021
9. 9
   Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles

   30 次引用 · 2022
10. 10
    LazyDAgger: Reducing Context Switching in Interactive Imitation Learning

    29 次引用 · 2021

主要合作者