It’s only October, but the weather is what it is and robots will do what they do!

While testing the improved gait sequencing for the quad A1 I got some footage of it traversing a few different types of outdoor semi-rugged terrain.

Tree roots

The first clip shows it walking over some tree roots. In this particular instance, it just uses a high stepping gait, which allows the feet to get on top of the root. The gait sequencing doesn’t handle walking over the taller part of the root very well yet… the robot can get “high centered” on two legs, with the other two flailing in the air.

To stay on top of bazel development, and to prepare for some future improvements, I’ve gone ahead and upgraded the moteus firmware build system, rules_mbed to use the new bazel “platforms” toolchain resolution mechanism.

Previously, rules_mbed used the “crosstool_top” bazel mechanism for toolchain configuration. This allowed a single package to contribute a set of C++ toolchains which would be selected based on CPU and compiler. One of the downsides from the rules_mbed perspective, is that it made it difficult to make a build that included both mbed targets and host targets (or anything else non-mbed). rules_mbed worked around this by including a functioning clang host toolchain within it.

Now that the quad A1 has been running faster, it has started “running” through its ad-hoc cable management too. After replacing a harness for the nth time, I decided to actually design something rather than just keep re-building over and over again.

My current best effort uses semi-flexible nylon split conduit, captured in 3d printed forms at each joint. Inside that conduit is basically the same harness I had before, with the cables selected to be more robust to repetitive motion. The nylon conduit is only semi-flexible, so it enforces a relatively large minimum bending radius on the wires within, while still sticking to the black quad A1 color motif.

As part of some experimentation in native Windows tools for moteus, I’ve created a dirt simple rules_wix repository in github. It provides a minimal wrapper around the WiX Toolset for creating Window’s installers from within bazel. There’s nothing fancy there yet, but it can at least make an installer with a single executable in it!

• https://github.com/mjbots/rules_wix

In the last post, I described the newer gait engine which takes a desired command and produces a set of gait parameters. At that point, the gait engine needs to implement those gait parameters in a way that is stable with respect to disturbances and keeps the two legs properly out of phase with one another.

The gait variables that the gait selection procedure emits are as follows, each “leg” is actually a pair of legs.

As hinted in my earlier video I’ve been working towards some higher speed gaits with the quad A1. To accomplish that, I had to restructure the gait sequencing logic to permit changing cycle times and allow flight phases.

For now, I’ve tentatively broken down the trot gait into 5 regimes, based on how fast the machine is moving:

1. At the slowest speeds, the flight legs swing through a step in the configured maximum flight time. The interval between flight times is fixed at a configured maximum. Here the speed is determined by how far the flight legs move.
2. Once the flight legs are moving through their maximum allowed distance, then the amount of time spent with both legs on the ground is reduced in order to increase speed.
3. At the point when both legs are not on the ground at the same time, then there begins to be a flight phase. Increasing the length of the flight phase increases the speed.
4. When the flight phase reaches a configured maximum, then the swing time is decreased until it reaches a configured minimum.
5. When the swing time is at a configured minimum, the flight time is at a configured maximum, and the legs are moving through their maximum range, then the machine is moving at its maximum speed.

Depending upon the current commanded rotation rate and translation velocity, the distance available for the legs to travel through may change. This uses the same mechanism from the step selection technique to determine the maximum distance at each update cycle, then selects which of the above regimes is active based on the commanded speed.

Here’s another short video only update, I’ve been experimenting with flight phases on the quad A1. With the gait formulation as I have it now, it isn’t terribly stable, but with some coaxing videos are possible:

The moteus controller has always supported multiple turns when counting positions. It has a one-revolution magnetic encoder built in, but after turn on, it keeps track of how many turns have occurred. However, if you’ve followed previous moteus tutorials, you have probably noticed a persistent caveat that for accurate control, the position of the output shaft needs to stay within a hundred revolutions of 0.0 or so. Now, I’ll describe why that was, and what I’ve done to remove the limitation, allowing unlimited rotations!

At the request of @nichols in discord, I’ve recently implemented a new control mode in the moteus controller, “stay within”. In this mode, as long as the controller is inside the currently commanded bounds, only a feedforward torque is commanded. When either of the optional lower or upper bound is violated, the normal PID controller is used to force the position back to the bound.

Here’s a quick video demo:

Note that this could have been roughly accomplished in a couple of ways by a higher level controller – either by monitoring the position and commanding zero kp/kd scales when inside the boundary, or just solely commanding feedforward torques based on position sensing. However, this approach lets the control run at the full 40kHz of the moteus controller, which results in much smoother operation at the boundary condition.