Joseph E. Gonzalez
収録論文 20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
- TURBO: Utility-Aware Bandwidth Allocation for Cloud-Augmented Autonomous Control2025/3/1
- Leveraging Cloud Computing to Make Autonomous Vehicles Safer2023/8/1
- Autonomously Untangling Long Cables2022/7/1
- All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators2022/3/1
- 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
- Learning Space Partitions for Path Planning2021/6/1
- Disentangling Dense Multi-Cable Knots2021/6/1
- Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models2021/4/1
- Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles2021/4/1
- Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation2020/11/1
- Untangling Dense Knots by Learning Task-Relevant Keypoints2020/11/1
- 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
- ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions2020/3/1
- Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics2020/3/1
- Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data2020/3/1
- 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
- A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering2019/3/1