Woah. This photo popped up in my Facebook memories today:
This was taken after my final presentation at Hokkaido Univeristy in Sapporo, Japan.
I spent two months there for a research internship on Mechatronics.
Quite interesting since I did my internship during the dead of winter. The heaviest snowfall Sapporo has experienced in the last ten years at that time! I absolutely hated it the first month. I'm from a tropical weather country. I love my beaches and coconut trees. But I got around to adjusting to the weather on my second month and it wasn't so bad after all.
Anyway, my research wasn't as intensive because it was more of a cultural experience. But I got the chance to hangout with the Masters and Doctorate students at the lab. The undergrads had a hectic schedule because their final thesis was due that time and I didn't want to bother them. But I had a lot of fun just learning about what their research was about.
While being annoying to Sarun and Yoshiki, I found out about Simultaneous Localization and Mapping. It was the hot topic there at the time. Almost everyone was doing a variation of it in their papers.
Quickly went to youtube and found this video:
I think I just found my first RaspberryPi project for this year. I've had a Pi 3 B+ lying around for some time now and I haven't gotten around to doing anything with it. Well, it's worth a try. It doesn't say anything on the video description on what parts she used to complete the project so I think I need to figure that out for myself.
This one's pretty ambitious so I'm not giving it a short timeline. At least I can move my knowledge further about SLAM.
Have you done any projects with SLAM or RaspberryPi? I'd love to hear about it in the comments!
Hello. SLAM is increasingly considered "solved", so some of the major research challenges that a large community has focused on over the past two decades have already been solved. You can see how fairly reliable SLAM systems are becoming consumer products among autonomous vehicles, read more on the site https://dioramslam.com/ .
This technology is used in many robotic applications, but the thread of similarity that runs through them all is the idea of a robot properly moving on its own over a patch of land or water that it has never crossed before. It's also just a lot of grammar for a robot constantly using GPS and a few other algorithms to "learn" unfamiliar terrain while still maintaining a relatively accurate sense of positioning through triangulation.
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