Search Results for author: Airlie Chapman

Found 7 papers, 0 papers with code

Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT

no code implementations12 Apr 2024 Miguel Ortiz del Castillo, Jonathan Morgan, Jack McRobbie, Clint Therakam, Zaher Joukhadar, Robert Mearns, Simon Barraclough, Richard Sinnott, Andrew Woods, Chris Bayliss, Kris Ehinger, Ben Rubinstein, James Bailey, Airlie Chapman, Michele Trenti

Artificial intelligence (AI) and autonomous edge computing in space are emerging areas of interest to augment capabilities of nanosatellites, where modern sensors generate orders of magnitude more data than can typically be transmitted to mission control.

Edge-computing Image Compression

Second-Order Coverage Control for Multi-Agent UAV Photogrammetry

no code implementations21 Jan 2023 Samuel Mallick, Airlie Chapman, Eric Schoof

Unmanned Aerial Vehicles equipped with cameras can be used to automate image capture for generating 3D models via photogrammetry.

Asynchronous Event-Triggered Control for Non-Linear Systems

no code implementations25 Nov 2022 Daniel A. Williams, Airlie Chapman, Chris Manzie

With the increasing ubiquity of networked control systems, various strategies for sampling constituent subsystems' outputs have emerged.

Individual and Team Trust Preferences for Robotic Swarm Behaviors

no code implementations28 Mar 2022 Elena M Vella, Daniel A Williams, Airlie Chapman, Chris Manzie

We formulate a linear optimization problem to locate a trusted behavior in the feature space.

Clock Rigidity and Joint Position-Clock Estimation in Ultra-Wideband Sensor Networks

no code implementations4 Jun 2021 Ruixin Wen, Eric Schoof, Airlie Chapman

Joint position and clock estimation is crucial in many wireless sensor network applications, especially in distance-based estimation with time-of-arrival (TOA) measurement.

Position Translation

Fast Spline Trajectory Planning: Minimum Snap and Beyond

no code implementations4 May 2021 Declan Burke, Airlie Chapman, Iman Shames

In this paper, we study spline trajectory generation via the solution of two optimisation problems: (i) a quadratic program (QP) with linear equality constraints and (ii) a nonlinear and nonconvex optimisation program.

Trajectory Planning

Online Distributed Optimization on Dynamic Networks

no code implementations22 Dec 2014 Saghar Hosseini, Airlie Chapman, Mehran Mesbahi

This paper presents a distributed optimization scheme over a network of agents in the presence of cost uncertainties and over switching communication topologies.

Distributed Optimization

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