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Open nowPosted 82 days ago

算法类(研发)

zj-innolight/30030875 open roles

Where
Chengdu, Sichuan, Chinese Mainland
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Your applicationOpen now算法类(研发)zj-innolight/300308 · Chengdu, Sichuan, Chinese Mainland
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  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 82 days ago

The posting

1. 负责机械臂/复合机器人的真机强化学习算法设计,融合视觉感知(目标/位姿)作为状态输入,构建从仿真训练到真机部署的完整流程,解决Sim2Real迁移问题 2. 研发高效训练方案,优化样本效率,确保灵巧操作任务在有限时间内收敛到高成功率 3. 搭建人机协作训练系统,利用遥操作、奖励设计、渐进式自主等策略降低真机训练成本

1. 2027届硕士及以上学历,计算机类、人工智能类、自动化类、电子信息类等相关专业 2. 211-双一流院校及以上优先 3. 熟悉协作机械臂的实际操作与底层接口,掌握正逆运动学求解及轨迹规划知识 4. 具备机械臂/复合机器人真机强化学习项目经验,熟悉从仿真训练到真机策略部署的全流程,了解Sim2Real迁移的关键技术(域随机化、阻抗控制、自动重置等) 5. 精通主流RL算法(SAC/PPO/TD3等),有面向机械臂灵巧操作的高样本效率训练实际调优经验 6. 熟练使用PyTorch,具备并行仿真环境的搭建经验 7. 良好的工程能力,熟悉Linux开发环境、ROS通信、GPU训练调度;具备计算机视觉基础(图像/点云处理、目标检测等),能将视觉信息与RL策略结合者加分 8. 英语CET-6及以上

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