Mech is a langauge for developing data-drive sytems. For a brief overview, see this!

We're just about at the halfway point on our schedule to launch the beta in October, so I think it's an appropriate time for an update, especially as we have some new eyeballs on the project. Somehow this post is longer than the last one which summarized 2 yearsโ€™ worth of work, so I guess that goes to show how much has been done this year so far! Let's dive into all the new enhancements that were added to Mech since January.

๐Ÿ› ๏ธ Platform Improvements

1. Physical units

Physical units have been a long time coming, and now we've finally implemented a prototype. This is done by leveraging the dynamic dispatch system and choosing functions specialized for operands of a particular unit. For example, multiplying a column typed as <m/s> and one typed as <s> will yield a column typed as <m>. At this point there's no symbolic dimensional analysis going on; we're just selecting from a list of pre-compiled functions that take the dimensions into account manually.

Units are specified the same way as the built in datatypes:

x = 10<m>
y = 20<m/s>
z = 3000<ms>
a = x + y * z
โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
โ”‚a (1 x 1)                     โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚Length                        โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚70m                           โ”‚
โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ

Right now only a few built-in units and scales thereof are hardcoded into the compiler, but in the future these will be user-specified in Mech code by adding rows to a table.

Now that we have physical units, we can have units-aware functions and tables. For example, #time/timer is now defined as:

#time/timer = [|period<s> ticks<u64>|]

Where we can see that the type of the period column is "s" meaning "seconds". The following video demonstrates specifying the period in both seconds and milliseconds, and how Mech does the right thing by normalizing both units to a common scale.

Obviously this is just the beginning, and we'll have to a lot more work to make this a more robust feature with more units and more functions that accept units. One big addition for next time will be the ability to define custom types within Mech rather than through the compiler.

2. Top-level Statements

You can now write statements without having to put them in a block, with the restriction that they can't query any global tables. The following is valid Mech code now (what's new is that it's not indented):

x = 10 + 15
y = 20
z = [1 2 3 4]
q = z + y + x

And the answer is...
#value = stats/sum(row: q)

This is a subtle but huge change because it affects the way we can expose Mech to new users; it means that Mech looks more like a scripting language at first, but then can expand its capabilities with blocks and global tables.

I think this is a big win, because there's enough to think about with Mech without having to worry about asynchrony and distributed stuff right away. We can talk about all the new concepts in the language gradually, and then when the user is ready introduce the concept of blocks. I'm glad I figured this out now, because the entire framing of the beta documentation will have to change as a consequence.

3. Distributed Programs

At the beginning of the year I had just finished the major portions of the runtime rewrite, which meant mech-lang/core and mech-lang/syntax were passing most tests. But mech-lang/program, which handles the networking layer of the Mech runtime, still was broken. Now the work of getting the rest of the system converted over to the changes brought by the updated runtime is completed. This entailed among other things restoring distribution capabilities, which are demonstrated below to be fully operational again:

In this video, one Mech server is started in the bottom terminal which hosts the drawing code from the examples/demo program. In the other terminal, a second Mech server is started which hosts the simulation code from that same program. In a non-distributed context, these two programs would run on the same Mech core; but in a distributed context, the drawing code can run on the client while the simulation code can run on a remote server. This enables the ability to have a "thin" client of marginal power (and therefore cost), which only runs interface drawing code, while the remote machine running the simulation is much more powerful.

But my favorite part about this design is that the program remains unchained whether it's distributed or not! At this point, fully distributed code is syntactically identical to distributed code; what changes is the context in which it's run. Now, I don't know if this is a good idea or not, but it feels good, although may be too confusing on a larger application. If that's the case, I have some ideas on how to make it less magical yet still feel good. We'll see though!

The video goes on to demonstrate the implication โ€” that because the simulation is running on a remote server, any clients that connect to it will have their output synchronized. Moreover, we can interact with the simulation from one browser and synchronize those interactions with the server, which are then further propagated to every other connected client.

The video below extends this concept to a game, which can be found in the io machine to demonstrate the usage of the new #io/gamepad:

In this case, the centralized server runs the gamepad code. To that, we connect two clients that run different client code โ€” one client that displays a gamepad drawing, and another that displays a platform game with physics. Both browsers subscribe to the same data stream connected to the hardware gamepad.

4. Standalone Executables

The packaging and distribution story for Mech programs got a little more work this cycle. We've always packaged the Mech REPL and compiler as a standalone executable that can run on most platforms Rust can target. Until now, to run Mech programs, one would invoke the Mech compiler as an interpreter; it will compile and run .mec source code in one step, the same way Python works. Unlike Python, Mech has a JIT compiler, so it runs a lot faster than Python (see the next section for more on performance), but the interpretation step is still there.

What we can do to compile Mech programs into standalone executables (without having to go through the interpreter) is compile .mec files into bytecode, and store that on disk in a serialized binary format. I've decided to call this file format a .blx file (pronounced "blocks"). This file format is essentially the raw output of the syntax compiler, right before it's JIT compiled.

So then what we can do for a quick and dirty self-contained executable is store that bytecode inside of the Mech runtime. The runtime itself is 5.7MB on Windows, which is quite large, but I have a feeling that this can be reduced to under 1MB. The core runtime itself is only 1.7KB, so I feel like there's a lot of fat we can trim from that executable. We'll see.

Here's a video demonstrating the various ways to run a Mech program at this time, including running it through the mech toolchain, bundling a console application, or bundling a GPU rendered GUI:

The packaging story will be a major topic of development this summer, and I have at least one student who will be devoted to working on this aspect of the project.

5. Performance

In the last development update I spent some time talking about the various ways that we improved the performance of Mech for the new v0.1-beta runtime. Although I did compare to Python at one point, it wasn't a very enlightening benchmark. Now we've done performance benchmarking against some other languages and honestly, I'm a little surprised at how well Mech stacks up against the competition:

According to our benchmark of the bouncing balls simulation (with n = 1e7 balls), Mech is not only very fast, but it turns out to be faster than all other languages tested, which includes Rust. To be clear, I'm not saying Mech is the fastest language around, but it does go to show that performance tuning works. The relative ordering of Mech and Rust here doesn't indicate anything; since Mech is implemented in Rust, we should expect performance to be similar if I've done my job right with the JIT compiler.

Actually single threaded Mech does not perform quite as well as Rust on this benchmark; without parallel processing, Mech performance falls between Matlab and Rust. It's only when parallel processing is turned on that Mech manages to beat Rust. As we can see in the following image, Mech makes full usage of all available cores:

This is due to its use of Rust's work-stealing parallelism crate called Rayon, which obviously could be used to speed up the Rust version beyond Mech. Mech's value proposition is therefore not that it's the fastest, but that it will automatically provide fast parallel performance by default at the language-level. This means we don't have to sacrifice expressivity for performance, as is usually the tradeoff. That's what being a higher-level language is all about -- not having to tediously cobble together a system capable of supporting your work. The point of Mech is that when we already have a well-designed system to do this kind of thing (parallel distributed array processing), we can aim higher than we would otherwise be able to do starting from basic software building materials like libraries or even frameworks.

6. Mech Notebook GUI

From the start, the tagline for Mech has been that it's a language for "games, animations, and robots". After doing some GUI programming in Mech, I may just have to add "interfaces" to the list, because it works very well in that domain.

For the last couple of weeks I've been using the excellent egui crate to create a GPU-accelerated GUI for Mech. So far I've been wrapping the various UI elements for usage in Mech, and I've done enough to implement one of the longest-needed features for the language: a table browser! Check out the video below to see what happens when we open elements of the GUI inside of the GUI itself:

Recent work has been focused on the ability to write Mech code from within the editor itself, as you can do in Smalltalk. Soon we'll have a Mech editor fully written in Mech!

7. Tests

The testing harness is now written 100% in Mech. Before it was a combination of Mech code which ran the tests, but Rust code which aggregated them and produced printed output. Now Mech is running all of the testing and result aggregation through Mech itself. This milestone represents the first feature of the Mech platform implemented end-to-end in Mech.

Tests present an interesting problem with typed columns, because the expected value of a test could be different depending on the operation under scrutiny. For example, the following code is problematic because it requires the concept of a column with heterogenous types:

#mech/test += ["Addition"      2    1 + 1
               "String Concat" "ab" "a" + "b"]

This kind of thing used to be possible in older versions of Mech, but since the new v0.1-beta runtime with typed columns, this has been forbidden. To implement testing though, we still need to support this pattern, so now Mech has a wildcard column kind <_>. It's like an "Any" type, but it's not the default for columns; the default will be inferred from the column elements, so you have to explicitly opt-in to a wildcard column. Accordingly, the #test table is defined as such:

#test = [|name<string> expected<_> actual<_>|]

This is implemented by keeping the elements of these columns wrapped in their Value enums, which allows them to coexist in the same column. However, it's going to slow down computations as operands must be unwrapped dynamically on each function call. The tests are run with the following code:

  #test/results = #test.expected == #test.actual

You can see the testing framework live here and in action below:

8. Error Messages and Debugging

Debugging has been difficult in Mech since the beginning due to a lack of any error messages whatsoever. That all changes with the addition of error messages and other debugging features added over the last couple of months.

First, let's talk about error messages. One thing that's nice about Rust is that it forces programmers to handle error conditions, like when a program fails to parse, or a file fails to open. What we've done recently with Mech is to make almost every function return a special error code (except for the compiled functions to avoid branching during evaluation). This means that pretty much every error condition that could arise in Mech has a code that references a particular branch of the runtime logic. When a violation occurs, the error code is noted, and we can use that to discern what the error was. Here's the Rust struct which represents and error in Mech:

pub struct MechError {
  pub id: u64,
  pub kind: MechErrorKind,
}

MechErrorKind allows us to further specify the kind of error that has occurred. Right now, most errors are either Generic, which returns an arbitrary string with context for the error; or None, which is just a placeholder at this point. Before the beta release, these will be replaced with more informative error messages. But at least for now we don't have to become mystified whenever a program isn't working; we look up the error code in the source, and we can see exactly where it failed. Obviously this is not user friendly, but it'll be better for the beta with actual error messages and informative error kinds.

What's more, we added full compiler introspection that really supercharges debugging capabilities in Mech. With the -d flag, the compiler will now report all internal state, including that of blocks. In the video below, you can see the state which is inspectable at runtime:

The following runtime information is included in the debugger output:

  • Blocks:
    • id and state
    • input and output registers
    • transformations and plan, with each step
    • local tables
    • block-level errors
  • Core:
    • input and output registers
    • loaded blocks
    • loaded functions
    • block schedule
    • global tables
    • block-level errors across all blocks
    • core-level errors

With this information, it should be possible to debug almost any Mech program. In the future, this information will be reflected into the running program, so that we can do this introspection from within the program itself.

๐Ÿ  Ecosystem

1. New Machine Interface

The big news in the Mech ecosystem is that basically every machine must change due to the new dynamic dispatch JIT compiler. But that's okay because the change is well worth it. Nonetheless, this is a reminder of why Mech is alpha right now, and why nothing critical should be built on it at this point. It's also a good reason as to why I'm not fleshing out every single module I've started yet, because often that work needs to be redone when the platform changes underneath it.

Anyway, here's the change: machines that offer functions will now have to provide a compiler for those functions. That compiler must implement that following trait:

pub trait MechFunctionCompiler {
  fn compile(&self, 
    block: &mut Block, 
    arguments: &Vec<Argument>, 
    out: &(TableId, TableIndex, TableIndex)) 
    -> std::result::Result<(),MechError>;
}

What does this compiler do? It plans an appropriate function based on the types of the input arguments. For example, when adding two u8 numbers, the function compiler will choose an efficient implementation of add for u8s. If we add two u32s, then an implementation will be chosen for u32s. If no implementation is available (adding two Boolean values) then the compiler should record an error.

I'm not exactly sure this won't change again in the future, but this is what it is for now. What I may change is that these mini compilers should return a Plan rather than taking an &mut Block and modifying the block's plan. Functions must also implement the following trait:

pub trait MechFunction {
  fn solve(&self);
  fn to_string(&self) -> String;
}

So far math, stats, compare, logic, and table have been upgraded to this new format. More will follow in the future.

2. Reorganization of html/wasm

It used to be that the wasm repository contained most of the code for drawing HTML and canvas elements, while the html machine repo was sort of a shell. Now that code has been abstracted out of wasm and moved into html proper. Unfortunately, the code in wasm is still there and alive, so that will be moved soon, at which point html will be a dependency of wasm.

3. Mech โค๏ธ Sphero

After years of trying and failing, I thought this day would never arrive. But here we have it, finally Mech is communicating with a Sphero directly via Bluetooth! Here's a demonstration of Mech controlling the Sphero with an Xbox gamepad:

What it took to get here and why it took so long:

  1. For a long time there was a lack of adequate Bluetooth support for Rust under Windows. The state of Bluetooth crates on Rust for a while mostly focused on Linux. The Btleplug crate is one of the newer Bluetooth crates and one of the first ones to support BTLE on Windows, which the Sphero Bolt requires.

  2. There's also a lack of a proper Sphero SDK for Rust. Thankfully this very helpful Python driver PySphero exists, and I've ported portions of it to Rust. You can find that crate, sphero-rs, here.

So far I've only ported enough of the PySphero driver to cover the functionality I needed for the Spring CHOICES event, which was held earlier in the year. See below for more details on that front.

All the code necessary to make this happen is written in Mech. Here's that code:

Connect to a gamepad
  #io/gamepad += [id: 100<u64>]

Connect to a particular Sphero robot
  #sphero/robot += [id: "SB-C714"]

Map controller state to robot velocity and heading
  #sphero/robot.speed := #io/gamepad.left-stick-y / 4
  #sphero/robot.heading := (#io/gamepad.right-stick-x + 1) / 2 * 360

The code is very short, which is the promise of Mech as a language. What's going on here is that there are two tables #io/gamepad and #sphero/robot. As the buttons on the Xbox controller are pressed, #io/gamepad updates accordingly. The left stick y value and the right stick x value are mapped to the speed and heading of the Sphero robot, respectively.

The Mech runtime handles all issues of data transport, serialization, and storage. It knows when the controller updates #io/gamepad, it also has to update #sphero/robot. Furthermore, Mech knows that when it updates #sphero/robot, this will trigger the associated machine to send the table contents to the Sphero robot, wirelessly over Bluetooth.

๐Ÿซ Outreach

1. Forward Robotics @ CHOICES

Forward Robotics (FR) is the outreach component of the Mech project which aims to educate kids about robotics. Over the Summer of 2020, several of my students developed activities of the FR curriculum, but we weren't able to test them on actual kids due to the pandemic. At long last, in early March Forward Robotics got its first playtest at the Lehigh CHOICES program:

"Lehigh University's CHOICES program allows middle school girls to participate in a variety of fun engineering and science experiments designed to foster an interest in the future pursuit of science, technology, engineering and math (STEM)."

For our part, Forward Robotics deployed the robot bowling activity, in which students write Mech code to draw logos on the 8x8 Sphero Bolt display and then use the robot to knock over bowling pins.

Some logos designed by the CHOICES teams, including a sky, a rabbit, a turtle, and an orange slice:

๐Ÿ”ต๐Ÿ”ตโšช๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต
๐Ÿ”ตโšชโšชโšช๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต
๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐ŸŸกโšช๐Ÿ”ต
๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ตโšชโšชโšช
๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต
๐Ÿ”ต๐Ÿ”ตโšช๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต
๐Ÿ”ตโšชโšชโšช๐Ÿ”ต๐Ÿ”ตโšช๐Ÿ”ต
๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ต๐Ÿ”ตโšชโšชโšช
๐ŸŸก๐ŸŸกโšซโšชโšซโšชโšซโšซ
๐ŸŸก๐ŸŸกโšซ๐Ÿ”ดโšซ๐Ÿ”ดโšซโšซ
โšซโšซโšซ๐Ÿ”ตโšช๐Ÿ”ตโšซโšซ
โšซโšซโšซโšช๐Ÿ”ดโšชโšซโšซ
โšซโšซโšซโšชโšชโšชโšซโšซ
โšซ๐ŸŸขโšซโšซโšซโšซโšซ๐ŸŸข
โšซ๐ŸŸ โšซ๐ŸŸขโšซ๐ŸŸขโšซ๐ŸŸ 
โšซ๐ŸŸ โšซ๐ŸŸ โšซ๐ŸŸ โšซ๐ŸŸ 
โšซโšซโšซ๐ŸŸข๐ŸŸขโšซโšซโšซ
โšซโšซโšซ๐ŸŸข๐ŸŸขโšซโšซโšซ
โšซ๐ŸŸข๐ŸŸค๐ŸŸค๐ŸŸค๐ŸŸค๐ŸŸขโšซ
โšซ๐ŸŸค๐ŸŸค๐ŸŸค๐ŸŸค๐ŸŸค๐ŸŸคโšซ
โšซ๐ŸŸค๐ŸŸค๐ŸŸค๐ŸŸค๐ŸŸค๐ŸŸคโšซ
โšซ๐ŸŸค๐ŸŸค๐ŸŸค๐ŸŸค๐ŸŸค๐ŸŸคโšซ
โšซ๐ŸŸข๐ŸŸค๐ŸŸค๐ŸŸค๐ŸŸค๐ŸŸขโšซ
โšซโšซโšซ๐ŸŸข๐ŸŸขโšซโšซโšซ
โšซโšซโšซโšซโšซโšซโšซโšซ
โšซโšซโšซโšซโšซโšซโšซโšซ
โšซโšซโšซโšซโšซโšซโšซโšซ
๐ŸŸ ๐ŸŸก๐ŸŸก๐ŸŸก๐ŸŸก๐ŸŸก๐ŸŸก๐ŸŸ 
๐ŸŸ ๐ŸŸก๐ŸŸก๐ŸŸก๐ŸŸก๐ŸŸก๐ŸŸก๐ŸŸ 
โšซ๐ŸŸ ๐ŸŸก๐ŸŸก๐ŸŸก๐ŸŸก๐ŸŸ โšซ
โšซโšซ๐ŸŸ ๐ŸŸ ๐ŸŸ ๐ŸŸ โšซโšซ
โšซโšซโšซโšซโšซโšซโšซโšซ
โšซโšซโšซโšซโšซโšซโšซโšซ

2. IROS 2022

We submitted a paper to IROS 2022 which will be held in October. This is the venue at which I plan to launch Mech, so if we don't get accepted to present we'll have to choose another venue (there are other good choices we can fall back on if necessary, or we can submit to an IROS workshop). The preprint needs to be cleaned up a little before I show it to everyone, so you can look forward to that in the future as a blog post.

3. HYTRADBOI 2022

We presented Mech at the "Have You Tried Rubbing A Database On It?" conference on April 29th. This was a new (remote only) conference organized by one of my former colleagues on the Eve project, Jamie Brandon. The conference aims to bring people together who are working on data-centric applications to all sorts of problems.

It was a very well-attended conference for being new, so it served as kind of an unofficial soft launch for Mech, as it garnered the project more eyeballs than ever before. Reception was generally positive, but of course no one actually used Mech at the conference. We also got some signups on the mailing list and expressions of interest. In all, I think it was successful and worthwhile to submit and present.

If you couldnโ€™t attend, here is the video that was presented:

4. ARRAY 2022

Mech has been accepted to present at the Array 2022 workshop hosted at PLDI. The presentation will be in San Diego on June 13th, 2022. I don't know if it will be recorded, but if it is I'll be sure to put a link in a future blog post.

๐Ÿค Project and Community

1. Repository Shakeup

The main Mech repository at gitlab.com/mech-lang/mech has been reorganized. This was because versions kept getting out of sync between my local dev environment and the online environment. What I've done is create git submodules of the various repositories in the mech-lang namespace, so that now when someone wants to build Mech from source, they will have to clone the submodules first. Then I use the cargo patch feature to redirect all inclusions of mech crates to the local submodules.

The new build process is as follows:

git clone https://gitlab.com/mech-lang/mech -b v0.1-beta --recurse-submodules
cd mech
cargo build --bin mech --release

2. Soft Launch Website

Since I figured the HYTRADBOI conference was going to attract a decent number of eyeballs, I did a quick refresh of the Mech website to include content from the talk. It's not written in Mech (it's mostly just pngs), but at least it has a code sample and some rationale on the project.

A better website is still forthcoming for the Fall launch.

3. Logo

The logo has undergone a second revision. Embarrassingly enough, until I put it on the Sphero LED display and looked at it from new perspectives, I didn't realize the logo we had settled on last time looked like "F-" when rotated 90 degrees.

And now I can't unsee it! Oops... not quite the message I want to send with the logo (I guess this is what designers are for). So I put it to my students and we agreed on a new revision. Here it is!

Which I think doesn't have any negative connotations in any orientation. Maybe it's a curse in a foreign language, but I'm happy with this for now. Also, I feel like it has Autobot vibes, so it works on more levels than before:

4. Mailing List Signup

There was some actual interest in joining a mailing list at the HYTRADBOI conference, so there is now a mailing list sign-up on the home page. You can sign up for the mailing list below as well (pardon the lack of styling):

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If you subscribe, be sure to check your spam folder for a confirmation e-mail, and to add talk@mech-lang.org to your trusted address list.

5. RSS Feed

Likewise there was interest in subscribing to the Mech blog so as to not miss when the launch happens. Accordingly, I created an RSS feed that people can subscribe to: http://mech-lang.org/feed.xml. I will post all new blog updates to the mailing list and the RSS feed.

๐ŸŒž Summer 2022 Roadmap

Whew, okay so that was a lot. Unfortunately, this pace can't let up if we want to make our October deadline. So here's what we're planning to accomplish this summer to stay on pace:

  • Mech Notebook - The Mech notebook will be the main project for the first part of the summer. The goal there is to have something to demo at ARRAY 2022.
  • gui Machine - As part of creating the Mech Notebook, we'll have to create a machine to render common gui elements like sliders, windows, panels, labels, etc. This will be a part of the standard library.
  • Flesh Out Standard Library - The standard library is... spotty. I have a student this summer who will be filling in the gaps and implementing as much of it as he can.
  • Documentation Revamp - The docs need to be completely rewritten. They were written for v0.0.2, so they are mostly out of date by now. This will be an ongoing project that will coincide with the fleshing out of the standard library.
  • ARRAY 2022 - As I mentioned earlier, I'll be presenting Mech at ARRAY 2022 in June, which is co-located with PLDI 2022. If you're going, let me know, I'd love to meet up and give you a demo!
  • Summer CHOICES - Forward Robotics will be re-running the robot bowling activity at the CHOICES camp in June. At the Spring event we had a limited amount of time over a single afternoon, but the upcoming event will be over a couple days. Hopefully this means the students will get more time to write Mech code.
  • Foundations of Robotics - In July and August I will be teaching my Foundations of Robotics course, which will leverage Mech on the Tegra, along with several sensors. I'll have to write drivers for all the sensors we will use, as well as implement the matrix math functions needed to implement SLAM, RANSAC, and other algorithms we will be using.
  • CAREER Grant Proposal - I still intend on submitting a CAREER proposal for this cycle, which would be due in July.
  • SWAG - I'm going to commission a line of Mech SWAG like stickers and such that I can hand out at PLDI and IROS.
  • Website Revamp - We'll launch a full new website. I will need to find a designer to do the work of creating the design, but the site will be fully implemented in Mech.

๐ŸŽƒ v0.1-beta Release Roadmap

The beta is still on track for a late October release. The exact date is TBD and will depend on whether or not we are accepted to IROS.

By the end of Summer (Sep 22), I'm going to feature-freeze Mech. Everything that's not in at that time will have to wait until after v0.1-beta is launched. IROS 2022 will be held starting Oct 22, so if we're accepted to present at that conference then we will have about a month to test, fix bugs, and write documentation and release material!

Thanks for reading if you made it this far. This post could probably have been shorter if I made more frequent updates, but I kind of like the megapost update as it makes me feel like I've been productive. At the time this post goes live, I already have more to talk about, but I've scoped this post roughly to work that happened between January and April so that will have to wait.

That said, the next time I will post a progress update will be at the end of August with a Summer progress report. But before then I'll have some posts here from myself as well as some of my students to try and build a little momentum for the release.