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Karthik Dantu
Postdoctoral Fellow
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I am currently on the job market. Please find my academic application materials here | ||||||
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What's New:
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Research
My research interests broadly span robotics, sensor networks, embedded systems, and mobile computing. I am currently working on the RoboBees project which is a 5-year NSF Expeditions in Computing grant to create swarms of robotic bees. My particular interests are in programming and coordination of such swarms. |
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Coordination In Micro-Aerial Vehicle Swarms [IROS 12] [SenSys 11] [IPSN 12] |
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Karma: Karma is a framework to program and coordinate micro-aerial vehicle (MAV) swarms. Karma proposes a programming model where the application can be specified as a set of behaviors. Each behavior produces and consumes information on execution. The control flow is specified as dependencies on the presence of such information. Karma also divides the world where the application is being executed into Regions. This allows users to build complex applications from simple behaviors. Our target tracking application is only 50 lines of code. Here is a video (1080p version) of Karma in action. |
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Simbeeotic: Simbeeotic is an event-driven simulator written in Java to simulate Micro-Aerial Vehicle swarms. It is built on JBullet, a 6 degree-of-freedom physics engine. One can implement control behaviors, attach virtual sensors, and simulate virtual worlds. It is easy to quickly simulate swarm behavior, design custom control algorithms, network behavior, and run repeated simulations. Simbeeotic is open-source and available on github. | ||||||
Mobile Networking [ROBOCOMM 09] [ICRA 09] [WCNC 03] [ISLPED 02] |
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Most wireless routing protocols are designed for static wireless nodes. They are designed to find the "best" routes for data, where best is usually defined as the most reliable (based on link quality) or one that takes the least amount of time. In mobile networks, the link quality between nodes changes constantly as nodes are mobile. In robot networks, the nodes themselves have an idea of where they are headed. This information could be passed to the routing protocol to improve the stability of routes in such networks. We demonstrate that by incorporating positional and directional cues, route stability improves by as much as 20% in Optimized Link State Routing (OLSR), a representative mesh routing protocol. | ||||||
Recent Publications (citations=914, h-index=8)
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Service
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Reviewing
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| The initial template of this homepage was stolen with permission from Prabal Dutta. | ||||||