A fast heuristic Cartesian space motion planning algorithm for many-DoF robotic manipulators in dynamic environments. - Phuong D. H. Nguyen; Matej Hoffmann; Ugo Pattacini; Giorgio Metta (Humanoids, 2016)

Real-time path generation for multicopters in environments with obstacles. - Phuong D. H. Nguyen; Carmine Tommaso Recchiuto; Antonio Sgorbissa (IROS, 2016)

Merging Physical and Social Interaction for Effective Human-Robot Collaboration. - Phuong D. H. Nguyen; Fabrizio Bottarel; Ugo Pattacini; Matej Hoffmann; Lorenzo Natale; Giorgio Metta (Humanoids, 2018)

Transferring Visuomotor Learning from Simulation to the Real World for Robotics Manipulation Tasks. - Phuong D. H. Nguyen; Tobias Fischer 001; Hyung Jin Chang; Ugo Pattacini; Giorgio Metta; Yiannis Demiris (IROS, 2018)

iCub-HRI: A Software Framework for Complex Human-Robot Interaction Scenarios on the iCub Humanoid Robot. - Tobias Fischer 001; Jordi-Ysard Puigbò; Daniel Camilleri; Phuong D. H. Nguyen; Clément Moulin-Frier; Stéphane Lallée; Giorgio Metta; Tony J. Prescott; Yiannis Demiris; Paul F. M. J. Verschure (Frontiers Robotics AI, 2018)

Real-Time Path Generation and Obstacle Avoidance for Multirotors: A Novel Approach. - Phuong D. H. Nguyen; Carmine Tommaso Recchiuto; Antonio Sgorbissa (J. Intell. Robotic Syst., 2018)

DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self. - Clément Moulin-Frier; Tobias Fischer 001; Maxime Petit; Grégoire Pointeau; Jordi-Ysard Puigbo; Ugo Pattacini; Sock Ching Low; Daniel Camilleri; Phuong D. H. Nguyen; Matej Hoffmann; Hyung Jin Chang; Martina Zambelli; et al. (IEEE Trans. Cogn. Dev. Syst., 2018)

Reaching development through visuo-proprioceptive-tactile integration on a humanoid robot - a deep learning approach. - Phuong D. H. Nguyen; Matej Hoffmann; Ugo Pattacini; Giorgio Metta (ICDL-EPIROB, 2019)

From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use. - Manfred Eppe; Phuong D. H. Nguyen; Stefan Wermter (CoRR, 2019)

From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving. - Manfred Eppe; Phuong D. H. Nguyen; Stefan Wermter (Frontiers Robotics AI, 2019)

Adaptable Workstations for Human-Robot Collaboration: A Reconfigurable Framework for Improving Worker Ergonomics and Productivity. - Wansoo Kim 001; Marta Lorenzini; Pietro Balatti; Phuong D. H. Nguyen; Ugo Pattacini; Vadim Tikhanoff; Luka Peternel; Claudio Fantacci; Lorenzo Natale; Giorgio Metta; Arash Ajoudani (IEEE Robotics Autom. Mag., 2019)

Curious Hierarchical Actor-Critic Reinforcement Learning. - Frank Röder; Manfred Eppe; Phuong D. H. Nguyen; Stefan Wermter (ICANN (2), 2020)

Reinforcement Learning with Time-dependent Goals for Robotic Musicians. - Thilo Fryen; Manfred Eppe; Phuong D. H. Nguyen; Timo Gerkmann; Stefan Wermter (CoRR, 2020)

Robotic self-representation improves manipulation skills and transfer learning. - Phuong D. H. Nguyen; Manfred Eppe; Stefan Wermter (CoRR, 2020)

Hierarchical principles of embodied reinforcement learning: A review. - Manfred Eppe; Christian Gumbsch; Matthias Kerzel; Phuong D. H. Nguyen; Martin V. Butz; Stefan Wermter (CoRR, 2020)

Sensorimotor Representation Learning for an "Active Self" in Robots: A Model Survey. - Phuong D. H. Nguyen; Yasmin Kim Georgie; Ezgi Kayhan; Manfred Eppe; Verena Vanessa Hafner; Stefan Wermter (Künstliche Intell., 2021)

Intelligent problem-solving as integrated hierarchical reinforcement learning. - Manfred Eppe; Christian Gumbsch; Matthias Kerzel; Phuong D. H. Nguyen; Martin V. Butz; Stefan Wermter (Nat. Mach. Intell., 2022)