Computer simulation of elastic chains using a recursive formulation. - Inna Sharf; Gabriele M. T. D'Eleuterio (ICRA, 1988)

The relationship between recursive multibody dynamics and discrete-time optimal control. - Gabriele M. T. D'Eleuterio; Christopher J. Damaren (IEEE Trans. Robotics Autom., 1991)

Parallel simulation dynamics for elastic multibody chains. - Inna Sharf; Gabriele M. T. D'Eleuterio (IEEE Trans. Robotics Autom., 1992)

A servocompensator approach to the control of flexible space robotic manipulators with application to teleoperation. - Manfred D. M. Sever; Gabriele M. T. D'Eleuterio (IROS, 1993)

Tracking control for end-effector position and orientation of structurally flexible manipulators. - Joseph Carusone; Gabriele M. T. D'Eleuterio (J. Field Robotics, 1993)

Experiments in end-effector tracking control for structurally flexible space manipulators. - Joseph Carusone; Keir S. Buchan; Gabriele M. T. D'Eleuterio (IEEE Trans. Robotics Autom., 1993)

Distributed, real-time control of structurally flexible manipulators. - Manfred D. M. Sever; Gabriele M. T. D'Eleuterio (IEEE Parallel Distributed Technol. Syst. Appl., 1994)

Visuomotor Control using an Artificial Neural Network. - Peter F. McGuire; Gabriele M. T. D'Eleuterio (IWANN, 1995)

Parallel O(log N) algorithms for computation of manipulator forward dynamics. - Amir Fijany; Inna Sharf; Gabriele M. T. D'Eleuterio (IEEE Trans. Robotics Autom., 1995)

Parametric motor control: A new approach to the control of point-to-point manipulator movements. - Otmar Bock; Gabriele M. T. D'Eleuterio; John Lipitkas; J. J. Grodski (J. Field Robotics, 1996)

The "Feature CMAC": a Neural-Network-Based Vision System for Robotic Control. - Joseph Carusone; Gabriele M. T. D'Eleuterio (ICRA, 1998)

Stable, On-Line Learning using CMACs for Neuroadaptive Tracking Control of Flexible-Joint Manipulators. - C. J. B. Macnab; Gabriele M. T. D'Eleuterio (ICRA, 1998)

An evolutionary approach to multiagent heap formation. - Tim D. Barfoot; Gabriele M. T. D'Eleuterio (CEC, 1999)

From the Sea to the Sidewalk: The Evolution of Hexapod Walking Gaits by a Genetic Algorithm. - Ernest J. P. Earon; Tim D. Barfoot; Gabriele M. T. D'Eleuterio (ICES, 2000)

Discrete-Time Lyapunov Design for Neuroadaptive Control of Elastic-Joint Robots. - C. J. B. Macnab; Gabriele M. T. D'Eleuterio (Int. J. Robotics Res., 2000)

Neural network-based pose estimation for fixtureless assembly. - Christopher S. Langley; Gabriele M. T. D'Eleuterio (CIRA, 2001)

Multiagent Coordination by Stochastic Cellular Automata. - Tim D. Barfoot; Gabriele M. T. D'Eleuterio (IJCAI, 2001)

Neuroadaptive control of elastic-joint robots using robust performance enhancement. - C. J. B. Macnab; Gabriele M. T. D'Eleuterio (Robotica, 2001)

Eigenpaxels and a neural-network approach to image classification. - Peter F. McGuire; Gabriele M. T. D'Eleuterio (IEEE Trans. Neural Networks, 2001)

Kinematic path-planning for formations of mobile robots with a nonholonomic constraint. - Timothy D. Barfoot; Christopher M. Clark; Stephen M. Rock; Gabriele M. T. D'Eleuterio (IROS, 2002)

ART FCMAC: a memory efficient neural network for robotic pose estimation. - Christopher S. Langley; Gabriele M. T. D'Eleuterio (CIRA, 2003)

Coevolving Communication and Cooperation for Lattice Formation Tasks. - Jekanthan Thangavelautham; Tim D. Barfoot; Gabriele M. T. D'Eleuterio (GECCO, 2003)

Subsurface surveying by a rover equipped with ground-penetrating radar. - Timothy D. Barfoot; Gabriele M. T. D'Eleuterio; A. Peter Annan (IROS, 2003)

CMAC Adaptive Control of Flexible-joint Robots using Backstepping with Tuning Functions. - C. J. B. Macnab; Gabriele M. T. D'Eleuterio; Max Q.-H. Meng (ICRA, 2004)

A Neuroevolutionary Approach to Emergent Task Decomposition. - Jekanthan Thangavelautham; Gabriele M. T. D'Eleuterio (PPSN, 2004)

Experimental validation of multi-vehicle coordination strategies. - Joshua A. Marshall; Terence Fung; Mireille E. Broucke; Gabriele M. T. D'Eleuterio; Bruce A. Francis (ACC, 2005)

A Coarse-Coding Framework for a Gene-Regulatory-Based Artificial Neural Tissue. - Jekanthan Thangavelautham; Gabriele M. T. D'Eleuterio (ECAL, 2005)

Stochastic Self-organization. - Timothy D. Barfoot; Gabriele M. T. D'Eleuterio (Complex Syst., 2005)

Evolving Distributed Control for an Object Clustering Task. - Timothy D. Barfoot; Gabriele M. T. D'Eleuterio (Complex Syst., 2005)

Experiments in learning distributed control for a hexapod robot. - Tim D. Barfoot; Ernest J. P. Earon; Gabriele M. T. D'Eleuterio (Robotics Auton. Syst., 2006)

Experiments in multirobot coordination. - Joshua A. Marshall; Terence Fung; Mireille E. Broucke; Gabriele M. T. D'Eleuterio; Bruce A. Francis (Robotics Auton. Syst., 2006)

Developmental Neural Heterogeneity Through Coarse-Coding Regulation. - Jekanthan Thangavelautham; Gabriele M. T. D'Eleuterio (ECAL, 2007)

Evolving a Scalable Multirobot Controller Using an Artificial Neural Tissue Paradigm. - Jekanthan Thangavelautham; Alexander D. S. Smith; Dale Boucher; Jim Richard; Gabriele M. T. D'Eleuterio (ICRA, 2007)

Modeling Friction for a Snake-Like Robot. - Krzysztof Skonieczny; Gabriele M. T. D'Eleuterio (Adv. Robotics, 2008)

Evolving multirobot excavation controllers and choice of platforms using an artificial neural tissue paradigm. - Jekanthan Thangavelautham; Nader Abu El Samid; Paul Grouchy; Ernest Earon; Terence Fu; Nagina Nagrani; Gabriele M. T. D'Eleuterio (CIRA, 2009)

An island model for high-dimensional genomes using phylogenetic speciation and species barcoding. - Paul Grouchy; Jekanthan Thangavelautham; Gabriele M. T. D'Eleuterio (GECCO, 2009)

Supplanting Neural Networks with ODEs in Evolutionary Robotics. - Paul Grouchy; Gabriele M. T. D'Eleuterio (SEAL, 2010)

Tackling Learning Intractability Through Topological Organization and Regulation of Cortical Networks. - Jekanthan Thangavelautham; Gabriele M. T. D'Eleuterio (IEEE Trans. Neural Networks Learn. Syst., 2012)

Block circulant control: A geometric approach. - Adam C. Sniderman; Mireille E. Broucke; Gabriele M. T. D'Eleuterio (CDC, 2013)

Formation control of balloons: A block circulant approach. - Adam C. Sniderman; Mireille E. Broucke; Gabriele M. T. D'Eleuterio (ACC, 2015)

Controllability is not sufficient for pole placement in patterned systems. - Adam C. Sniderman; Mireille E. Broucke; Gabriele M. T. D'Eleuterio (CDC, 2015)

Evolving Cellular Automata to Perform User-Defined Computations. - Gabriele M. T. D'Eleuterio; Paul Grouchy (ALIFE, 2016)

Pattern identification in distributed systems. - Melkior Ornik; Adam C. Sniderman; Mireille E. Broucke; Gabriele M. T. D'Eleuterio (CDC, 2016)

Synthesis of recurrent neural networks for dynamical system simulation. - Adam P. Trischler; Gabriele M. T. D'Eleuterio (Neural Networks, 2016)

Autonomous multirobot excavation for lunar applications. - Jekanthan Thangavelautham; Kenneth Law; Terence Fu; Nader Abu El Samid; Alexander D. S. Smith; Gabriele M. T. D'Eleuterio (Robotica, 2017)

Towards an Autonomous Robotic Dragonfly: At-Scale Lift Expertiemts Modeling Dragonfly Forewings. - Peter A. K. Szabo; Gabriele M. T. D'Eleuterio (IROS, 2018)

Control of a class of patterned systems. - Adam C. Sniderman; Mireille E. Broucke; Gabriele M. T. D'Eleuterio (Int. J. Control, 2018)

Variational Inference as Iterative Projection in a Bayesian Hilbert Space. - Timothy D. Barfoot; Gabriele M. T. D'Eleuterio (CoRR, 2020)

Design, Modeling and Motion Control of a Multi-Segment SMA Driven Soft Robotic Manipulator. - Wuji Liu; Zhongliang Jing; Xiangming Dun; Gabriele M. T. D'Eleuterio; Wujun Chen; Henry Leung (AIM, 2021)

On the Eigenstructure of Rotations and Poses: Commonalities and Peculiarities. - Gabriele M. T. D'Eleuterio; Timothy D. Barfoot (CoRR, 2022)

Vectorial parameterizations of pose. - Timothy D. Barfoot; James Richard Forbes; Gabriele M. T. D'Eleuterio (Robotica, 2022)

Variational inference as iterative projection in a Bayesian Hilbert space with application to robotic state estimation. - Timothy D. Barfoot; Gabriele M. T. D'Eleuterio (Robotica, 2023)

Adaptive unscented Kalman filter for neuronal state and parameter estimation. - Loïc J. Azzalini; David Crompton; Gabriele M. T. D'Eleuterio; Frances K. Skinner; Milad Lankarany (J. Comput. Neurosci., 2023)