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bjack205 committed Feb 21, 2020
2 parents 82f4030 + 0e69460 commit c234603
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3 changes: 2 additions & 1 deletion _data/people.yml
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Expand Up @@ -63,8 +63,9 @@ laura:

nathan:
display_name: "Nathan Kau"
webpage: "https://nathankau.com/"
role: ugrad
image: /img/people/scott.png
image: /img/people/nathankau.jpg
bio: Undergraduate Student

tarun:
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2 changes: 1 addition & 1 deletion _projects/multirobot.md
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Expand Up @@ -10,7 +10,7 @@ people:
- taylor

layout: project
image: "/img/dist_quad_composite.png"
image: "/img/team_lift.jpg"
last-updated: 2019-08-15
---
Most approaches to multi-robot control either rely on local decentralized control policies that scale well in the number of agents, or on centralized methods that can handle constraints and produce rich system-level behavior, but are typically computationally expensive and scale poorly in the number of agents, relegating them to offline planning. This work presents a scalable approach that uses distributed trajectory optimization to parallelize computation over a group of computationally-limited agents while handling general nonlinear dynamics and non-convex constraints. The approach, including near-real-time onboard trajectory generation, is demonstrated in hardware on a cable-suspended load problem with a team of quadrotors automatically reconfiguring to transport a heavy load through a doorway.
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