(16/2/2016)
Tang is finalising on his PhD thesis by adding some extra experiments to his work based on suggestion from the Pre-Submission panels. Today, he took the chance of our biweekly presentation to share with us his experiment results. Tang's co-supervisors from Japan has joined the seminar through tele-conference too.
Tang research is focusing on the NLP for the elderly people. He proposed a model based on the working memory of human brain and he implemented the model into a talking robot - the Nao robot. Nao is a little humanoid robot (more from the link) that has video, audio and haptic sensors to interact with people.
Due to confidentiality of the work, most of the sharing are not to be mentioned here. So what have I learned from the session? One important thing that I picked up from the conversation between Tang and the Professors from Japan - there are deeper layers of thinking into even a tiny matter in research. We have to question everything, try not to ignore any of them, as they might bring us closer to the interpretation of our findings.
Sunday, February 21, 2016
Sunday, February 7, 2016
Intelligent Systems Lab Presentation – Cockroach Swarm Optimisation (by Ali Farid)
(2/2/2016)
We are starting up a more active communication platform for the members of Intelligent Systems Lab. Thus a biweekly presentation of our findings or other relevant works will be presented by the members at a one-hour session.
Cockroach Swarm Optimisation (CSO) is the first in the series of our Intelligent Systems Lab's presentation. CSO emulates the cockroach behaviour in locating dark places for hiding and looking for other cockroaches as a form of social activity.
Ali, the presenter of this seminar pointed out the relevant of this optimisation algorithm to his project in using drones (UAVs) as a swarm. He is thinking of using the CSO in his swarm of drone for locating of target in unknown environment. Quite an interesting sharing session from the presenter, at least, the CSO as compared to other swarm optimisation algorithms is quite a distinctive approach. Nature has given us a lot more of inspiration, it is just a matter of whether we are able to learn from the nature and creatively put ideas into practical solutions.
We are starting up a more active communication platform for the members of Intelligent Systems Lab. Thus a biweekly presentation of our findings or other relevant works will be presented by the members at a one-hour session.
Cockroach Swarm Optimisation (CSO) is the first in the series of our Intelligent Systems Lab's presentation. CSO emulates the cockroach behaviour in locating dark places for hiding and looking for other cockroaches as a form of social activity.
Ali, the presenter of this seminar pointed out the relevant of this optimisation algorithm to his project in using drones (UAVs) as a swarm. He is thinking of using the CSO in his swarm of drone for locating of target in unknown environment. Quite an interesting sharing session from the presenter, at least, the CSO as compared to other swarm optimisation algorithms is quite a distinctive approach. Nature has given us a lot more of inspiration, it is just a matter of whether we are able to learn from the nature and creatively put ideas into practical solutions.
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