Abstract: Various embodiments for systems and methods for decentralized multi-target tracking with multiple robots using a PHD filter are disclosed herein.

Abstract: A consensus-based decentralized multi-robot approach is presented for reconstructing a discrete distribution of features, modeled as an occupancy grid map, that represent information contained in a bounded planar 2D environment, such as visual cues used for navigation or semantic labels associated with object detection. The robots explore the environment according to a random walk modeled by a discrete-time discrete-state (DTDS) Markov chain and estimate the feature distribution from their own measurements and the estimates communicated by neighboring robots, using a distributed Chernoff fusion protocol. Under this decentralized fusion protocol, each robot's feature distribution converges to the ground truth distribution in an almost sure sense.

Abstract: Various embodiments for systems and methods for decentralized multi-target tracking with multiple robots using a PHD filter are disclosed herein.

Abstract: A system for wireless power transmission is disclosed, and includes a plurality of UAVs, each having a transfer medium reservoir, an onboard power conversion unit, a communication module, a navigation module, a power delivery interface, and at least one sensor. Each UAV is configured to interface with a transfer medium source, receive a chemical power transfer medium into the transfer medium reservoir, fly to a target area containing a power recipient having a power demand, identify and land within a landing zone, provide chemical power transfer medium to an endpoint power conversion, and evaluate at least one directive to decide what action to take based on feedback. The system also includes a fleet control system communicatively coupled to the plurality of UAVs and configured to operate the plurality of UAVs as a swarm, generate at least one directive, and distribute the directive to the communication module of each UAV.