An Energy-Based Approach Towards Modeling of Mixed Reality Mechatronic Systems. - Yong-Ho Yoo (RoMoCo, 2007)

Mixed reality learning spaces for collaborative experimentation: A challenge for engineering education and training. - Dieter Müller; F. Wilhelm Bruns; Heinz-Hermann Erbe; Bernd Robben; Yong-Ho Yoo (Int. J. Online Eng., 2007)

Mixed reality design using unified energy interfaces. - Yong-Ho Yoo (2007)

A unified energy-based haptic model for a non-rigid object. - Sang-Youn Kim; YoonSang Kim; Yong-Ho Yoo (IEICE Electron. Express, 2009)

A Co-simulation Framework for Design, Test and Parameter Optimization of Robotic Systems. - Mohammed Ahmed; Yong-Ho Yoo; Frank Kirchner (ISR/ROBOTIK, 2010)

A unified haptic representation for fluid and deformable objects. - Yong-Ho Yoo; YoonSang Kim; Sang-Youn Kim (IEICE Electron. Express, 2010)

Concept of Actuation and Control for the EO Smart Connecting Car (EO scc). - Michael Jahn; Martin Schröer; Yong-Ho Yoo; Mehmed Yüksel; Frank Kirchner (ICIRA (1), 2012)

Mathematical Formula Recognition Based on Modified Recursive Projection Profile Cutting and Labeling with Double Linked List. - Yong-Ho Yoo; Jong-Hwan Kim 001 (RiTA, 2012)

Behavior Selection Algorithm for Personal Service Robots Using Intelligence Operating Architecture. - Woo-Ri Ko; Chang-Young Jung; Yong-Ho Yoo; Deok-Hwa Kim; Jong-Hwan Kim 001 (TAROS, 2012)

Automatic Color Detection for MiroSOT Using Quantum-Inspired Evolutionary Algorithm. - Deok-Hwa Kim; Yong-Ho Yoo; Si-Jung Ryu; Woo-Young Go; Jong-Hwan Kim 001 (FIRA, 2013)

Robust Object Recognition Under Partial Occlusions Using an RGB-D Camera. - Yong-Ho Yoo; Jong-Hwan Kim 001 (RiTA, 2014)

Procedural Memory Learning from Demonstration for Task Performance. - Yong-Ho Yoo; Jong-Hwan Kim 001 (SMC, 2015)

Integrated adaptive resonance theory neural model for episodic memory with task memory for task performance of robots. - Ju-Youn Park; Yong-Ho Yoo; Deok-Hwa Kim; Jong-Hwan Kim 001 (CEC, 2016)

Cogent confabulation-based hierarchical behavior planner for task performance. - Se-Hyoung Cho; Seung-Hwan Baek; Deok-Hwa Kim; Yong-Ho Yoo; Sanghyun Cho; Jong-Hwan Kim 001 (SMC, 2016)

Realization of task intelligence for service robots in an unstructured environment. - Deok-Hwa Kim; Gyeong-Moon Park; Yong-Ho Yoo; Si-Jung Ryu; In-Bae Jeong; Jong-Hwan Kim 001 (Annu. Rev. Control., 2017)

Task Intelligence of Robots: Neural Model-Based Mechanism of Thought and Online Motion Planning. - In-Bae Jeong; Woo-Ri Ko; Gyeong-Moon Park; Deok-Hwa Kim; Yong-Ho Yoo; Jong-Hwan Kim 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Deep ART Neural Model for Biologically Inspired Episodic Memory and Its Application to Task Performance of Robots. - Gyeong-Moon Park; Yong-Ho Yoo; Deok-Hwa Kim; Jong-Hwan Kim 001 (IEEE Trans. Cybern., 2018)

User Preference-Based Dual-Memory Neural Model With Memory Consolidation Approach. - Jauwairia Nasir; Yong-Ho Yoo; Deok-Hwa Kim; Jong-Hwan Kim 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

D3PointNet: Dual-Level Defect Detection PointNet for Solder Paste Printer in Surface Mount Technology. - Jin-Man Park; Yong-Ho Yoo; Ue-Hwan Kim; Dukyoung Lee; Jong-Hwan Kim 001 (IEEE Access, 2020)

Recurrent Reconstructive Network for Sequential Anomaly Detection. - Yong-Ho Yoo; Ue-Hwan Kim; Jong-Hwan Kim 001 (IEEE Trans. Cybern., 2021)

Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection. - Yong-Ho Yoo; Ue-Hwan Kim; Jong-Hwan Kim 001 (IEEE Trans. Cybern., 2022)