Suchet Bargoti
① 他说过的话
8 条
界面会变得非常高层。它可以是一个小的 Slack 机器人,说:嘿,这里发生了事,要不要派架无人机过去?你甚至可能不知道无人机已经起飞了。
指向原始笔记的链接
The interface becomes really high level. It could be a little slack bot that says, hey, something’s happened here. Why don’t we go send a drone? And you might not even know that the drone launched.
—— Suchet Bargoti · [04:45]
今天,每个人都需要成为一名专职飞手,我经历过认证流程,还要考虑安全标准。但你可以想象,几年之后,安全将由自主系统来决定。
指向原始笔记的链接
Today, everyone needs to be a dedicated pilot. I went through a certification exercise. I need to think about the safety standards here, but you can imagine in a few years’ time, the safety is gonna be determined by the autonomous system.
—— Suchet Bargoti · [04:32]
而今天,大约有 1600 万人生活在距离这套基础设施两英里半径的范围内。
指向原始笔记的链接
And today we have about 16 million people living within two miles radius of this infrastructure.
—— Suchet Bargoti · [07:29]
进来的 911 报警电话越多、能进来的警报越多,这其实无法扩展。
指向原始笔记的链接
The more 911 calls that come in, the more alerts that can come in, it doesn’t really scale.
—— Suchet Bargoti · [08:20]
所以我们正在重新思考:如何把最初的第一人称操控模式,转换成一种更具战略性的多智能体视图,让你可以带着一个目标指挥整个机队,而不用担心飞行本身。
指向原始笔记的链接
So we’re kind of rethinking as to what this means in terms of this initial first-person viewing engagement with these systems to how do we convert this to a most strategic multi-agent view that you can kind of command the entire fleet with an objective in mind without having to worry about the flight.
—— Suchet Bargoti · [08:26]
这是一个学习飞轮:我们出去、收集数据、执行任务再回来,这样每次飞行都可以记录数据,有点像 Google 街景——我们要对数据做脱敏,确保不留私人信息。
指向原始笔记的链接
This is a learning flywheel that we’re getting out there, we’re collecting data, we’re operating, and we’re coming back and doing that so that each flight we can log the data, kind of like Google Street View where we need to think about sanitizing that data, make sure there’s no private information left there.
—— Suchet Bargoti · [10:41]
我们正试图摆脱代码里所有这些 if 语句和分支策略,而是让智能体拥有一些高级工具,能够对无人机下达这些非常高级的指令。
指向原始笔记的链接
We’re trying to get away from having to have all these if statements in the code and these branching strategies and kind of let the agent have some high-level tools to be able to instruct these very high-level commands for the drone.
—— Suchet Bargoti · [19:10]
它找到目标后,就能访问让无人机跟踪跟随的工具——这不需要对规则做任何专门编码,而是用更智能体的方式:给智能体它需要的所有工具,让它根据无人机状态和可用的信息与上下文自己做决策。
指向原始笔记的链接
It finds something, then it has access to the tools that allow the drone to track and follow, and that’s without any specific coding of that rules, but instead having a more sort of agentic, giving the agents all the tools that it needs to be able to understand the drone state and make decisions given the information and the context that’s available there.
—— Suchet Bargoti · [17:21]
② 出现在这些集
1 集
- 《当无人机变成基础设施：给机队下指令的人》 — 作为嘉宾
③ 他谈到的
点进去有真内容 —— 本页主要出口
Skydea · 无人机基础设施 · 智能体 · 自主性 · 强化学习 · 世界模型 · VLM · 端到端训练 · 机坞 · 学习飞轮