谷歌浏览器插件
订阅小程序
在清言上使用

Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space

2024 INTERNATIONAL CONFERENCE ON SPACE ROBOTICS, ISPARO(2024)

引用 0|浏览30
暂无评分
关键词
Autonomic System,Parallelization,Sequence Assembly,Simulation Environment,Robotic System,Domain Adaptation,Deep Reinforcement Learning,Reinforcement Learning Algorithm,Trained Agent,Robot Learning,Training Set,Learning Process,Angular Velocity,Thermal Expansion,Real-world Scenarios,Additive Manufacturing,Reward Function,Linear Velocity,Robot Manipulator,Cartesian Space,Proximal Policy Optimization,Successful Insertion,Robotics Challenge,Maintenance Of Infrastructure,Reinforcement Learning Agent,Start Of Episode,Entrance Hole,Capabilities Of Agents,Module Pairs,Modular Assembly
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要