Search papers, labs, and topics across Lattice.
University of Toronto
3
0
2
In-flight reinforcement learning is now feasible, with Crazyflow training a drone recovery policy in just 0.38 seconds mid-air.
Achieve decimeter-level accuracy in decentralized multi-robot formation control using only onboard sensors and inter-robot range measurements, even without carefully designed trajectories.
Need to hit a specific trajectory estimation accuracy with your robot? This work reverse-engineers the sensor requirements, telling you the necessary sensor update rate or noise covariance.
