Brijen Thananjeyan
収録論文 24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
- Autonomously Untangling Long Cables2022/7/1
- Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision2022/6/1
- All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators2022/3/1
- MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance2021/12/1
- Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles2021/12/1
- LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks2021/7/1
- Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies2021/7/1
- SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo2021/6/1
- Disentangling Dense Multi-Cable Knots2021/6/1
- LazyDAgger: Reducing Context Switching in Interactive Imitation Learning2021/4/1
- Automating Surgical Peg Transfer: Calibration with Deep Learning Can Exceed Speed, Accuracy, and Consistency of Humans2020/12/1
- Untangling Dense Knots by Learning Task-Relevant Keypoints2020/11/1
- Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation2020/11/1
- MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects2020/10/1
- Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones2020/10/1
- Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics2020/3/1
- Efficiently Calibrating Cable-Driven Surgical Robots with RGBD Fiducial Sensing and Recurrent Neural Networks2020/3/1
- ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions2020/3/1
- Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data2020/3/1
- Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot2020/2/1
- Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor2019/10/1
- On-Policy Robot Imitation Learning from a Converging Supervisor2019/7/1
- Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks2019/5/1
- Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models2018/11/1