Demo of robots: 9:45-10:00
Demo of robots: 9:45-10:00
Technical defense: 10:00-10:30
Technical defense: 10:00-10:30
Open for Questions
Open for Questions
Embedded Files
Location:
Location:
Pulse, Landbergstraat 19, 2628 CE Delft
Pulse, Landbergstraat 19, 2628 CE Delft
First floor, next to the lift.
First floor, next to the lift.
Explaining swarm robotics in layman terms in 3 minutes.
ABSTRACT
ABSTRACT
Imagine being lost in a desert with a bunch of friends. Survival will be difficult. You will have mirages, distrust among friends and no means to leave landmarks on sand. Unable to locate yourself, you will have no means to contact people with maps. The best you can do in such a situation is to stay together in vicinity to each other and look for food and water. By staying together, you can see more and decrease faulty data; thereby increasing your survival probability.
Imagine being lost in a desert with a bunch of friends. Survival will be difficult. You will have mirages, distrust among friends and no means to leave landmarks on sand. Unable to locate yourself, you will have no means to contact people with maps. The best you can do in such a situation is to stay together in vicinity to each other and look for food and water. By staying together, you can see more and decrease faulty data; thereby increasing your survival probability.
Robots when left to explore the moon encounter the same issues. They do not have a Geo Positioning System to locate them nor do they have a map. They have faulty sensor readings and might find it difficult to contact human operator on earth all the time to solve issues on the moon. Since everything looks the same, there are no landmarks to memorize. As they walk around, their battery will also get exhausted. The more we equip the robot outside Earth, chances of faults do not decrease, they increase. Therefore, there is a need to make primitive robots capable of autonomous exploration in the area. We prefer sending more than one robot, inspired by the success of collective strength of insects in harsh environments.
Robots when left to explore the moon encounter the same issues. They do not have a Geo Positioning System to locate them nor do they have a map. They have faulty sensor readings and might find it difficult to contact human operator on earth all the time to solve issues on the moon. Since everything looks the same, there are no landmarks to memorize. As they walk around, their battery will also get exhausted. The more we equip the robot outside Earth, chances of faults do not decrease, they increase. Therefore, there is a need to make primitive robots capable of autonomous exploration in the area. We prefer sending more than one robot, inspired by the success of collective strength of insects in harsh environments.
This thesis aims at engineering collective behaviour for a group of robots in such a resource-less environment. We expect this collective behaviour to function in time critical tasks as well, like search and rescue operation in disaster-stricken areas. The thesis is written to in order to be implemented by legged robots called Zebros(https://www.youtube.com/watch?v=Mrce6yapt4c). Using communication, they collectively perform activities such that they appear as one body of tightly coupled autonomous units. We design three distinct algorithms (https://youtu.be/Yf3ToRk7YHY ) for such missions. these algorithms are for individual robots that result in an emergent behaviour. This emergent behaviour aims to keep the robots coupled within the swarm and also choose the best among possible options. Thereby the swarm stays together and also makes a collective decision.
This thesis aims at engineering collective behaviour for a group of robots in such a resource-less environment. We expect this collective behaviour to function in time critical tasks as well, like search and rescue operation in disaster-stricken areas. The thesis is written to in order to be implemented by legged robots called Zebros(https://www.youtube.com/watch?v=Mrce6yapt4c). Using communication, they collectively perform activities such that they appear as one body of tightly coupled autonomous units. We design three distinct algorithms (https://youtu.be/Yf3ToRk7YHY ) for such missions. these algorithms are for individual robots that result in an emergent behaviour. This emergent behaviour aims to keep the robots coupled within the swarm and also choose the best among possible options. Thereby the swarm stays together and also makes a collective decision.
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