Ahn, Michael

1. Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
   2022/04/04 by Ahn, Michael, Anthony Brohan, Noah Brown +84 · 340 citations
   Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
2. Open X-Embodiment: Robotic Learning Datasets and RT-X Models
   2023/10/13 by Embodiment Collaboration, O'Neill, Abby, Rehman, Abdul +349 · 180 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
3. AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
   2024/01/23 by Michael J. Ahn, Debidatta Dwibedi, Ahn, Michael +51 · 17 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robot Manipulation and Learning #Robotics (cs.RO)
4. Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
   2020/04/27 by Archit Sharma, Michael J. Ahn, Sharma, Archit +9 · 5 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotic Locomotion and Control #Robotics (cs.RO)
5. Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
   2019/08/13 by Nachum, Ofir, Ahn, Michael, Ponte, Hugo +2 · 4 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
6. VADER: Visual Affordance Detection and Error Recovery for Multi Robot Human Collaboration
   2024/05/25 by Michael J. Ahn, Montserrat Gonzalez Arenas, Ahn, Michael +47 · 2 citations
   Computer Science · Engineering · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Robot Manipulation and Learning #Robotics (cs.RO)