Evolving a Neural Model of Insect Path Integration. - Thomas Haferlach; Jan Wessnitzer; Michael Mangan; Barbara Webb (Adapt. Behav., 2007)

Path Integration Using a Model of e-Vector Orientation Coding in the Insect Brain: Reply to Vickerstaff and Di Paolo. - Jan Wessnitzer; Thomas Haferlach; Michael Mangan; Barbara Webb (Adapt. Behav., 2008)

Modelling place memory in crickets. - Michael Mangan; Barbara Webb (Biol. Cybern., 2009)

How Active Vision Facilitates Familiarity-Based Homing. - Andrew Philippides; Alex Dewar; Antoine Wystrach; Michael Mangan; Paul Graham (Living Machines, 2013)

Sky segmentation with ultraviolet images can be used for navigation. - Thomas Stone; Michael Mangan; Paul Ardin; Barbara Webb (Robotics: Science and Systems, 2014)

Route Following Without Scanning. - Aleksandar Kodzhabashev; Michael Mangan (Living Machines, 2015)

Place Recognition with Event-based Cameras and a Neural Implementation of SeqSLAM. - Michael Milford; Hanme Kim; Michael Mangan; Stefan Leutenegger; Tom Stone; Barbara Webb; Andrew J. Davison (CoRR, 2015)

A vision for computer vision: emerging technologies. - Jon Peddie; Kurt Akeley; Paul E. Debevec; Erik Fonseka; Michael Mangan; Michael Raphael (SIGGRAPH Panels, 2016)

Using an Insect Mushroom Body Circuit to Encode Route Memory in Complex Natural Environments. - Paul Ardin; Fei Peng; Michael Mangan; Konstantinos Lagogiannis; Barbara Webb (PLoS Comput. Biol., 2016)

Visual Tracking of Small Animals in Cluttered Natural Environments Using a Freely Moving Camera. - Benjamin Risse; Michael Mangan; Barbara Webb; Luca Del Pero (ICCV Workshops, 2017)

Using the Robot Operating System for Biomimetic Research. - Alexander Billington; Gabriel Walton; Joseph Whitbread; Michael Mangan (Living Machines, 2017)

An Analysis of a Ring Attractor Model for Cue Integration. - Xuelong Sun; Michael Mangan; Shigang Yue (Living Machines, 2018)

Software to convert terrestrial LiDAR scans of natural environments into photorealistic meshes. - Benjamin Risse; Michael Mangan; Wolfgang Stürzl; Barbara Webb (Environ. Model. Softw., 2018)

From skylight input to behavioural output: A computational model of the insect polarised light compass. - Evripidis Gkanias; Benjamin Risse; Michael Mangan; Barbara Webb (PLoS Comput. Biol., 2019)

Spatio-Temporal Memory for Navigation in a Mushroom Body Model. - Le Zhu; Michael Mangan; Barbara Webb (Living Machines, 2020)

L*a*b*Fruits: A Rapid and Robust Outdoor Fruit Detection System Combining Bio-Inspired Features with One-Stage Deep Learning Networks. - Raymond Kirk; Grzegorz Cielniak; Michael Mangan (Sensors, 2020)

Robust Counting of Soft Fruit Through Occlusions with Re-identification. - Raymond Kirk; Michael Mangan; Grzegorz Cielniak (ICVS, 2021)

Non-destructive Soft Fruit Mass and Volume Estimation for Phenotyping in Horticulture. - Raymond Kirk; Michael Mangan; Grzegorz Cielniak (ICVS, 2021)

EchoVPR: Echo State Networks for Visual Place Recognition. - Anil Özdemir; Andrew B. Barron; Andrew Philippides; Michael Mangan; Eleni Vasilaki; Luca Manneschi (CoRR, 2021)

EchoVPR: Echo State Networks for Visual Place Recognition. - Anil Özdemir; Mark Scerri; Andrew B. Barron; Andrew Philippides; Michael Mangan; Eleni Vasilaki; Luca Manneschi (IEEE Robotics Autom. Lett., 2022)

Neuromorphic sequence learning with an event camera on routes through vegetation. - Le Zhu; Michael Mangan; Barbara Webb (Sci. Robotics, 2023)

Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs. - Chao Han; Debabrota Basu; Michael Mangan; Eleni Vasilaki; Aditya Gilra (CoRR, 2024)