ReSpark
王建明When intelligence reshapes reality, the future sparks now. Welcome to Respark！
| Publishes | Monthly | Episodes | 13 | Founded | 10 months ago |
|---|---|---|---|---|---|
| Language |  ZH-CN | Category | Technology | ||
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Latest Episodes
本期访谈的嘉宾Du Yilun。他是第一个将Diffusion Model应用于机器人动作生成的学者（Planning with Diffusion），也是第一个提出通过视频预测来做机器人轨迹预测的学者（UniPi）。
和Du Yilun博士的交流让我自己受益匪浅，对于和我一样，最近一直在思考VLA是否可以真的把通用机器人做work的人，请你一定要听听这期播客，看看这期文字整理。
Du Yilun目前是哈佛大学 Kempner Institute 及计算机科学系的助理教授，同时也是 Goog... more
人形机器人通用控制器系列，继前两期对Xue Bin Peng和李钟毓的采访，这期播客我邀请到了人形机器人通用控制器领域家喻户晓的PHC这篇论文的作者罗正宜博士。
罗正宜（Zhengyi Luo）博士毕业于CMU，他的导师是 Kris Kitani 教授。在此之前，他于2019年在宾夕法尼亚大学获得了本科学位，并曾在 Kostas Daniilidis 教授的指导下开展研究工作。罗正宜博士的的研究兴趣主要集中在视觉、学习与机器人技术的交叉领域。主要研究方向包括人体姿态估计、人-物交互建模、人类运... more
强化学习早期的出圈是在星际争霸2击败职业玩家的AlphaStar，是Open AI击败Dota 2世界冠军战队OG的OpenAI Five，更是DeepMind击败李世石的AlphaGo，但由于在泛化性上的不足，学术与资本的关注度逐渐转冷，直到ChatGPT的出现，让人们发现强化学习与大模型结合所迸发出的泛化能力，强化学习一夜之间重新回到大众视野。在当前的Agent时代，Agent在替人们计划跨国旅行的行程、自动生成制作精良的网页的时候，不可避免的与形同黑箱的环境进行长时间且大量的交互，这种对数... more
最近一段时间，我很喜欢做一些人形机器人的全身运控的科普，最近也采访了几位在这个方向上有代表性工作的一些学者。在上一篇访谈中我们提到，Peng Xue Bin是从动画（animation）的角度切入人形机器人运控专访Xue Bin(Jason) Peng：探索人形机器人全身运控的通用控制器。本期的采访嘉宾李钟毓则是从基于模型的控制理论来切入人形机器人运控，他用六年的博士生涯探索足式机器人的全身运控。
李钟毓博士毕业于加州大学伯克利分校，在Koushil Sreenath 教授的指导下开展研究。他... more
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #177 | China/Technology |
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| Professions | Age Range | Household Income | |||
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