Skip to main content

Daniel, Static Visualization

So I extended my stay at the lab for two weeks, making my last day the end of July.

I met with Dr. Likhachev a few more times, mostly in lab meetings. It seems that every week, there is at least one lab meeting, where, up to now, a PhD student in the lab gives a presentation on his proposal. The presentations have all been about 3D path finding in unknown environments and its application to robots. After having worked with some search algorithms myself, I had a pretty good general idea of what the big dudes were talking about. Words that were just buzz phrases weeks ago are now entire comprehensible concepts to me.

I've successfully translated my A* code from Java into Javascript, though the process probably took a bit longer than it should have- I spent too long looking for an error that existed in the form of a misplaced bracket in a nested for-loop. I've also created my first copy of the algorithm's visualization. It's a Javascript applet, meaning the html file holding it can be uploaded to the web and display the visualization. Against the background of an empty web page, it's rather aesthetic, 1000 x 1000 pixel grids with different colors representing the start, end, walls, visited blocks, adjacent blocks, and ignored blocks. Now, my task at hand is to animate it.

Comments

Popular posts from this blog

Evan Bradley, Week 3 at the Missouri Orthopaedic Institute

As mentioned in my previous blog, I have been awaiting ligament, menisci, and cartilage tissue from a canine or human knee joint for (interleukin) IL-1B tissue culture. IL-1B is an inflammatory cytokine that has been proven to increase rates of tissue degeneration and osteoarthritis development in the Thompson Lab. Dr. Stoker wants me to experiment with different types of knee tissues in a co-culture with varying levels of this cytokine to determine its effects on the entire knee joint. This co-culture uses an insert permeable to the media to separate the two tissue samples from physical contact, while allowing them to share the same media. This creates an extremely accurate model for knee tissues in their native environment due to their exposure to the same synovial fluid in the joint. This model would then be treated with the IL-1B and cultured for 21 days. During these 21 days, the media would be collected every three days for biomarker evaluation at the end of the stu...

Kylie Heering, Week 2 at the Goldstein Lab

We started off our week with a congratulatory acai bowl trip to celebrate Preston’s acceptance into a training grant program. Acai bowls in California top Playa Bowls (no question about it). From what I can tell, its a pretty huge honor to be recognized by this grant, but he’s really humble about it. On Monday, Preston and I decided that testing antibodies that have never been tested on prostate epithelial cells before would be a good objective for my first Western blot on my own. We needed to probe for ASCT2, a glutamine transporter, and GLS in order to determine if their corresponding antibodies are functional. Antibodies are crucial for Western blots because they bind to the protein of interest (POI), allowing for us to qualify its expression after imaging. As such, Preston wanted to make sure they worked by probing for ASCT2 and GLS on three different cell lines. Cell lines are commercially purchased human cells that have been immortalized (modified to grow indefinitely) by telome...

Daniel Cheng, In My Own Room

I had no idea that Pennsylvania is this wide. Within the first hour, my train had reached Philly. But to Pittsburgh, it took another seven. Even before I stepped foot into the Search-Based Planning Lab, I was waylaid by some anxious news. The PhD student assigned to be my mentor, Dhruv, texted me that he, Dr. Likhachev, and most of the lab would be out of town for the entire week. So that was that. Fortunately, it was my first week, the week to be spent learning new material, and Dhruv provided me with plenty to digest. I already had ROS (Robot Operating System) installed, so I looked towards the tutorials that ROS provided. I copied commands into my Linux laptop's terminal to run ROS features. I learned the basic structure of ROS: packages, services and clients, publishers and subscribers, messages, nodes, and topics (which nodes communicate messages over). There was one simple yet interesting program I came across in the tutorials called turtlesim, for which using only 2 comm...