Open-source, anthropomorphic, underactuated robot hands with a selectively lockable differential mechanism: Towards affordable prostheses. - George P. Kontoudis; Minas V. Liarokapis; Agisilaos G. Zisimatos; Christoforos I. Mavrogiannis; Kostas J. Kyriakopoulos (IROS, 2015)

Active-Bayesian learning for cooperation connectivity in dynamic cyber-physical-human systems. - Kyriakos D. Tsoukalas; George P. Kontoudis; Kyriakos G. Vamvoudakis (SSCI, 2017)

Robust Kinodynamic Motion Planning using Model-Free Game-Theoretic Learning. - George P. Kontoudis; Kyriakos G. Vamvoudakis (ACC, 2019)

An Adaptive, Humanlike Robot Hand with Selective Interdigitation: Towards Robust Grasping and Dexterous, In-Hand Manipulation. - George P. Kontoudis; Minas V. Liarokapis; Kyriakos G. Vamvoudakis (Humanoids, 2019)

A Compliant, Underactuated Finger for Anthropomorphic Hands. - George P. Kontoudis; Minas V. Liarokapis; Kyriakos G. Vamvoudakis (ICORR, 2019)

A Comparison of Kriging and Cokriging for Estimation of Underwater Acoustic Communication Performance. - George P. Kontoudis; Daniel J. Stilwell (WUWNet, 2019)

An Adaptive Actuation Mechanism for Anthropomorphic Robot Hands. - George P. Kontoudis; Minas V. Liarokapis; Kyriakos G. Vamvoudakis; Tomonari Furukawa (Frontiers Robotics AI, 2019)

Kinodynamic Motion Planning With Continuous-Time Q-Learning: An Online, Model-Free, and Safe Navigation Framework. - George P. Kontoudis; Kyriakos G. Vamvoudakis (IEEE Trans. Neural Networks Learn. Syst., 2019)

Online, Model-Free Motion Planning in Dynamic Environments: An Intermittent, Finite Horizon Approach with Continuous-Time Q-Learning. - George P. Kontoudis; Zirui Xu; Kyriakos G. Vamvoudakis (ACC, 2020)

Combining Programming by Demonstration with Path Optimization and Local Replanning to Facilitate the Execution of Assembly Tasks. - Gal Gorjup; George P. Kontoudis; Anany Dwivedi; Geng Gao; Saori Matsunaga; Toshisada Mariyama; Bruce A. MacDonald; Minas V. Liarokapis (SMC, 2020)

Prediction of Acoustic Communication Performance in Marine Robots Using Model-Based Kriging. - George P. Kontoudis; Daniel J. Stilwell (ACC, 2021)

Bounded Rational RRT-QX: Multi-Agent Motion Planning in Dynamic Human-Like Environments Using Cognitive Hierarchy and Q-Learning. - Josh Netter; George P. Kontoudis; Kyriakos G. Vamvoudakis (CDC, 2021)

Decentralized Nested Gaussian Processes for Multi-Robot Systems. - George P. Kontoudis; Daniel J. Stilwell (ICRA, 2021)

Teaching Robotic and Biomechatronic Concepts with a Gripper Design Project and a Grasping and Manipulation Competition. - Minas V. Liarokapis; George P. Kontoudis (ICRA, 2021)

On Differential Mechanisms for Underactuated, Lightweight, Adaptive Prosthetic Hands. - Geng Gao; Mojtaba Shahmohammadi; Lucas Gerez; George P. Kontoudis; Minas V. Liarokapis (Frontiers Neurorobotics, 2021)

Model-based learning of underwater acoustic communication performance for marine robots. - George P. Kontoudis; Stephen Krauss; Daniel J. Stilwell (Robotics Auton. Syst., 2021)

Sparse Gaussian Process Regression using Progressively Growing Learning Representations. - Christos N. Mavridis; George P. Kontoudis; John S. Baras (CDC, 2022)

Distributed Multi-robot Information Gathering Using Path-Based Sensors in Entropy-Weighted Voronoi Regions. - Alkesh Kumar Srivastava; George P. Kontoudis; Donald Sofge; Michael W. Otte (DARS, 2022)

Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning. - George P. Kontoudis; Daniel J. Stilwell (CoRR, 2022)

Communication-Aware, Scalable Gaussian Processes for Decentralized Exploration. - George P. Kontoudis (2022)

Closed-Form Active Learning using Expected Variance Reduction of Gaussian Process Surrogates for Adaptive Sampling. - George P. Kontoudis; Michael W. Otte (ACC, 2023)

Adaptive Exploration-Exploitation Active Learning of Gaussian Processes. - George P. Kontoudis; Michael W. Otte (IROS, 2023)

Decentralized Federated Learning using Gaussian Processes. - George P. Kontoudis; Daniel J. Stilwell (MRS, 2023)

Path-Based Sensors: Will the Knowledge of Correlation in Random Variables Accelerate Information Gathering? - Alkesh Kumar Srivastava; George P. Kontoudis; Donald Sofge; Michael W. Otte (CoRR, 2023)

Scalable, Federated Gaussian Process Training for Decentralized Multi-Agent Systems. - George P. Kontoudis; Daniel J. Stilwell (IEEE Access, 2024)

Online and Robust Intermittent Motion Planning in Dynamic and Changing Environments. - Zirui Xu; George P. Kontoudis; Kyriakos G. Vamvoudakis (IEEE Trans. Neural Networks Learn. Syst., 2024)