motion-planning-in-complex-tasks-is-hard-and-still-done-via-slow-explicit

Deepak Pathak (@pathak2206)

2024-09-11 | ❤️ 267 | 🔁 40

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Motion planning in complex tasks is hard and still done via slow, explicit, traditional planners. We present a generalist Neural Motion Planner — a single neural network that plans complex dynamic motions quickly and accurately at test time.

Building upon our lab’s sim2real efforts, the key idea is to create many complex scenes in simulation and then distill classical motion planner trajectories into a single reactive neural network policy. More details in the thread below! 👇

Open-sourced: https://mihdalal.github.io/neuralmotionplanner/

미디어

Quoted: @mihdalal

Can a single neural network policy generalize over poses, objects, obstacles, backgrounds, scene arrangements, in-hand objects, and start/goal states?

Introducing Neural MP: A generalist policy for s…

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인용 트윗

Murtaza Dalal (@mihdalal)

Can a single neural network policy generalize over poses, objects, obstacles, backgrounds, scene arrangements, in-hand objects, and start/goal states?

Introducing Neural MP: A generalist policy for solving motion planning tasks in the real world 🤖 1/N https://t.co/p4V0RfUG0h

원본 트윗

🎬 영상

Tags

domain-simulation