Andy Zeng
収録論文 45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 Spatial Language Maps for Robot Navigation and Manipulation2025/6/1
- Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity2024/4/1
- Real-World Robot Applications of Foundation Models: A Review2024/2/1
- Learning to Learn Faster from Human Feedback with Language Model Predictive Control2024/2/1
- PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs2024/2/1
- Generative Expressive Robot Behaviors using Large Language Models2024/1/1
- Chain of Code: Reasoning with a Language Model-Augmented Code Emulator2023/12/1
- Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections2023/11/1
- Video Language Planning2023/10/1
- Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners2023/7/1
- Large Language Models as General Pattern Machines2023/7/1
- Rearrangement Planning for General Part Assembly2023/7/1
- Language to Rewards for Robotic Skill Synthesis2023/6/1
- TidyBot: Personalized Robot Assistance with Large Language Models2023/5/1
- RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning2023/4/1
- PaLM-E: An Embodied Multimodal Language Model2023/3/1
- Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents2023/3/1
- Audio Visual Language Maps for Robot Navigation2023/3/1
- MIRA: Mental Imagery for Robotic Affordances2022/12/1
- Visual Language Maps for Robot Navigation2022/10/1
- VIRDO++: Real-World, Visuo-tactile Dynamics and Perception of Deformable Objects2022/10/1
- Code as Policies: Language Model Programs for Embodied Control2022/9/1
- Inner Monologue: Embodied Reasoning through Planning with Language Models2022/7/1
- Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research2022/4/1
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances2022/4/1
- Learning Pneumatic Non-Prehensile Manipulation with a Mobile Blower2022/4/1
- Multiscale Sensor Fusion and Continuous Control with Neural CDEs2022/3/1
- Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning2022/3/1
- VIRDO: Visio-tactile Implicit Representations of Deformable Objects2022/2/1
- Multi-Task Learning with Sequence-Conditioned Transporter Networks2021/9/1
- Implicit Behavioral Cloning2021/9/1
- Learning to See before Learning to Act: Visual Pre-training for Manipulation2021/7/1
- XIRL: Cross-embodiment Inverse Reinforcement Learning2021/6/1
- Spatial Intention Maps for Multi-Agent Mobile Manipulation2021/3/1
- Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks2020/12/1
- Transporter Networks: Rearranging the Visual World for Robotic Manipulation2020/10/1
- Spatial Action Maps for Mobile Manipulation2020/4/1
- Grasping in the Wild:Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations2019/12/1
- ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation2019/10/1
- Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly2019/10/1
- DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions2019/6/1
- TossingBot: Learning to Throw Arbitrary Objects with Residual Physics2019/3/1
- Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning2018/3/1
- Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching2017/10/1
- Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge2016/9/1