mrjet

5 ms·

1.
by mrjet 2y ago
He is suggesting that better methods of interviewing could increase “area under the curve”, improving both fase negative and false positive rates at once.
2.
by mrjet 3y ago
Most robots are passively balanced by having multiple wheels on the ground. Walking robots balance actively without active gyros by moving their limbs. Spacecraft (which most roboticists would call robots) typically orient themselves using
3.
by mrjet 3y ago
This is neat, I have been looking for something like this.
4.
by mrjet 4y ago
Many modern lidars absolutely can see through fog/snow/dust/rain, albeit degraded. Blackmore, and Aeva can see through fog and dust that others can’t. Most sensors can see sufficiently through rain and snow.
5.
by mrjet 4y ago
You may need an inverse, but you shouldn’t call .inverse() or inverse(A). Since transformation matrices have simple structure, you can invert them much much faster. Ex: inverse(R, u) is (R^T, -R^T * u)
6.
by mrjet 4y ago
Would attend such a meetup!
7.
by mrjet 4y ago
I can only answer for robotics: Dual quaternions haven’t really taken over. While there’s no universal way that people end up handling rigid body transforms, SO(3) + R3 for rigid body transforms are the norm in robotics. Some robotics orgs
8.
by mrjet 5y ago
I have spent the last six years working in self-driving and disagree with the article. I am an autonomy engineer at a major self-driving focused company. First: The choice is between “lidar and cameras” and “cameras alone.” I am not aware o