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[RSL background]
[RSL background]
Q: Why is Kuo-Shih so interested in "search" problems instead of the other AI problems?
Q: Why is Kuo-Shih so interested in "search" problems instead of the other AI problems?
A: When he was a fresh PhD student, his final project in AI course is to search for a target using a P3DX robot and Kinect sensor. He took 1 month to finish the perception algorithms (e.g, SLAM, detection and location estimation of the target). However, the decision-making algorithm, finding an optimal search path, is too difficult for him to be solved. After reading 70+ papers, he found that it includes 3 NP-hard problems.
A: When he was a fresh PhD student, his final project in AI course is to search for a target using a P3DX robot and Kinect sensor. He took 1 month to finish the perception algorithms (e.g, SLAM, detection and location estimation of the target). However, the decision-making algorithm, finding an optimal search path, is too difficult for him to be solved. After reading 70+ papers, he found that it includes 3 NP-hard problems.
At the same time, his daughter was just one year old. He and his daughter played a hide and seek game everyday. After 1 month, he found she can search for him no matter where he is within 15 seconds . This is amazing! Her search performance is better than his robot! He started to think how the robot can learn to search from humans. His PhD adviser, Prof. Berenice Mettler, suggested him to do search experiments from human subjects. Then, he learned another way to explore robotics-- learning from human data.
At the same time, his daughter was just one year old. He and his daughter played a hide and seek game everyday. After 1 month, he found she can search for him no matter where he is within 15 seconds . This is amazing! Her search performance is better than his robot! He started to think how the robot can learn to search from humans. His PhD adviser, Prof. Berenice Mettler, suggested him to do search experiments from human subjects. Then, he learned another way to explore robotics-- learning from human data.
Q: In RSL, students only research in "search" problems?
Q: In RSL, students only research in "search" problems?
A: No, search is one kind of decision-making problems, which are NP-hard. Search is one kind of applications. We are interesting in all kinds of decision-making problems and trying to find better solutions.
A: No, search is one kind of decision-making problems, which are NP-hard. Search is one kind of applications. We are interesting in all kinds of decision-making problems and trying to find better solutions.
[Research in RSL]
[Research in RSL]
Q: If I want to join RSL, when should I contact Prof. Tseng?
Q: If I want to join RSL, when should I contact Prof. Tseng?
A: You could contact Prof. Tseng once you got Admission. In RSL, each M.S. student will receive 2 years training. Hence, you can start as early as possible.
A: You could contact Prof. Tseng once you got Admission. In RSL, each M.S. student will receive 2 years training. Hence, you can start as early as possible.
Q: How could I join in RSL? What kinds of documents I need to prepare?
Q: How could I join in RSL? What kinds of documents I need to prepare?
A: visit https://sites.google.com/view/robotic-search-lab/recruitment-new for more details.
A: visit https://sites.google.com/view/robotic-search-lab/recruitment-new for more details.
Q: What kinds of experience I need before joining in RSL?
Q: What kinds of experience I need before joining in RSL?
A: If you have programming skills (C, Python or MATLAB), probability and linear algebra, you have enough background to start. If you have one or two of them, it is fine.
A: If you have programming skills (C, Python or MATLAB), probability and linear algebra, you have enough background to start. If you have one or two of them, it is fine.
Q: Do I need hardware background (e.g., digital or analog circuits) in RSL?
Q: Do I need hardware background (e.g., digital or analog circuits) in RSL?
A: If you have hardware experience, it could be helpful for your research. If you don't have it, that is fine. In RSL, we focus on designing algorithms for robots and analyzing human data via mathematical formulations.
A: If you have hardware experience, it could be helpful for your research. If you don't have it, that is fine. In RSL, we focus on designing algorithms for robots and analyzing human data via mathematical formulations.
Q: What's the career in RSL?
Q: What's the career in RSL?
A: You will read papers, propose questions, derive math equations, write programs, run experiments, debugging, write papers and present your research.
A: You will read papers, propose questions, derive math equations, write programs, run experiments, debugging, write papers and present your research.
Q: Should I propose my thesis topic by myself in RSL?
Q: Should I propose my thesis topic by myself in RSL?
A: Once you joined in RSL, you can choose "Human search" or "Robot search" subgroup. Prof. Tseng will give you basic training. After 1 semester, you should be able to roughly propose your thesis topic. If you cannot, he will give you some candidates.
A: Once you joined in RSL, you can choose "Human search" or "Robot search" subgroup. Prof. Tseng will give you basic training. After 1 semester, you should be able to roughly propose your thesis topic. If you cannot, he will give you some candidates.
[MISC]
[MISC]
Q: Could I ask Prof. Tseng to write recommendation letters for me?
Q: Could I ask Prof. Tseng to write recommendation letters for me?
A: He only writes recommendation letters for (1) his supervised students and (2) the students have outstanding performance in his courses. If you have impressive research or projects, he would like to write recommendation letters for you.
A: He only writes recommendation letters for (1) his supervised students and (2) the students have outstanding performance in his courses. If you have impressive research or projects, he would like to write recommendation letters for you.
Q: Do I need to provide drafts of my recommendation letters ?
Q: Do I need to provide drafts of my recommendation letters ?
A: No. He will write recommendation letters based on your impressive work.
A: No. He will write recommendation letters based on your impressive work.
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