Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 59 days ago

【实习】具身智能交互算法实习生 -物理智能中心

aicarrier/522799209 open roles

Where
Shanghai, Chinese Mainland
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen now【实习】具身智能交互算法实习生 -物理智能中心aicarrier/522799 · Shanghai, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on aicarrier/522799's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 59 days ago

The posting

我们致力于构建面向精细物理交互的通用具身智能系统，以灵巧手、移动双臂平台和人形机器人为核心载体，研究机器人在真实物理世界中完成长程、精细、接触丰富、需要交互推理的操作任务，推动从人类操作数据、机器人真机数据、仿真训练、高层策略学习到真实机器人部署的完整闭环。 您将专注于以下一/多个方向，承担关键研究与系统工作，并参与高水平论文、开源系统、技术报告或重要机器人 demo 的研发。 一、灵巧操作智能：围绕灵巧手、机械臂、移动双臂平台和人手操作数据，开展精细操作算法研究与真机部署，重点关注机器人在复杂接触、精细操控和长程序列任务中的操作智能。 1. 构建和利用人类第一视角操作数据、遥操作数据、机器人真机数据与仿真交互数据，研究灵巧操作策略的训练、泛化与迁移。 2. 研究面向灵巧手和双臂系统的强化学习、模仿学习、VA/VLA、world model、动作表示与接触建模方法。 3. 探索 in-hand manipulation、双手协作、移动双臂操作、工具仪器使用中的高精度、高接触复杂度任务。 4. 研究视觉、语言、触觉、力觉与机器人本体状态的多模态融合，提升灵巧操作策略在真实接触、物体差异和长程任务中的稳定性。 5. 将策略部署到真实灵巧手、机械臂和移动双臂平台中，基于真实部署反馈迭代优化数据采集、仿真建模、任务设计、策略结构与控制接口。

二、人形机器人 Loco-Manipulation：围绕人形机器人在真实环境中的移动、感知、操作与交互推理，开展高层策略学习、全身操作控制与真机系统建设，使 locomotion 服务于 interaction。 1. 研究面向操作任务的稳健全身运控能力，支持人形机器人完成复杂长程移动操作任务。 2. 研究人形机器人与灵巧手结合的全身操作控制，包括上肢操作、手部精细控制、力位混合控制、接触丰富操作和多接触协调。 3. 研究人形机器人高层策略训练与部署，将视觉、语言、任务指令、机器人状态和全身动作统一到可部署的策略框架中。 4. 构建高效的人形机器人数据采集与评测流程，支持遥操作、人类示教和长程任务数据沉淀。 5. 探索“一脑多形”的具身智能策略泛化能力，研究同一高层策略在不同构型、不同尺度、不同执行器配置的异构人形机器人之间的迁移与适配。 6. 探索人形机器人在真实场景中的长程精细操作任务，包括视觉导航、场景理解、任务规划、操作前姿态调整、接触反馈和失败恢复。

1. 计算机、人工智能、机器人、自动化、控制等相关专业背景，硕士/博士优先，优秀本科生也可考虑。 2. 具备扎实的算法与工程基础，熟悉以下至少 1–2 个方向：强化学习、模仿学习、VA/VLA、运动控制、视觉感知、sim-to-real、灵巧操作、人形机器人移动操作。 3. 具备真实机器人经验，熟悉机器人运动学、动力学、坐标变换、标定与控制接口等基础问题；至少参与过灵巧手、机械臂、人形机器人、双臂系统、移动机械臂、外骨骼或其他真实机器人平台的部署、调试、数据采集或实验。 4. 至少参与过若干具身智能、机器人学习、机器人控制或相关方向研究项目，有论文发表、投稿、复现、开源项目或系统性技术报告经验。 5. 熟练掌握 Python/PyTorch，具备较好的 C++、Linux、ROS 与主流仿真平台使用能力，能够完成实验开发、模型训练、问题排查、真机部署和结果复现。 6. 理解真实机器人研发的复杂性，具备从实验结果中定位问题、分析原因并推动策略迭代的能力，能够适应高不确定性、长周期的真实机器人研发过程。 7. 目标感强，自驱力强，愿意长期投入到高质量研究和真实机器人系统建设中，并具备良好的团队协作与沟通能力。

【加分项】 1. 有 CVPR、ICCV、ECCV、NeurIPS、ICLR、CoRL、RSS、ICRA、IROS、RA-L、T-RO 等论文发表或投稿经验。 2. 代码工程能力突出，有高质量开源项目、机器人比赛、真实机器人 benchmark、数据采集系统等项目经验。 3. 有灵巧手、移动双臂平台、人形机器人或力控操作平台的真机经验，熟悉标定、时延、接触、通信、硬件噪声、策略部署等真实系统问题，并具备完整的系统调试与闭环验证经验。

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against aicarrier/522799's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on aicarrier/522799's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    aicarrier/522799's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.