DARPA Learning Introspective Control (LINC)
Abstract Due: September 13, 2021.
Proposal Due: October 26, 2021.
The Learning Introspective Control (LINC) program aims to develop machine learning-based introspection technologies that enable physical systems, with specific interest in ground vehicles, ships, drone swarms, and robotics systems, to respond to events not predicted at design time. LINC technologies will update control laws as required in real time while providing guidance and situational awareness to the operator, whether that operator is human or an autonomous controller.
DARPA is soliciting innovative proposals in the following areas of interest: Adaptive control, generative adversarial networks, self-repairing systems, autonomous control, dynamic control, operator cueing.
LINC has two TAs Technical Areas:
TA1: Learn Control Using Onboard Sensors and Actuators
TA2: Communicate Situational Awareness and Guidance to the Operator