John Nassour Web Page

Lecturer and Researcher in Neurorobotics



Enfolded textile actuator for soft wearable robots. John Nassour, Fred Hamker. IEEE International Conference on Cyborg and Bionic Systems. 18-20 September 2019. Technical University of Munich, Germany. 

Marionette-based programming of a soft textile inflatable actuator. John Nassour. Sensors and Actuators A: Physical, 291:93-98, 2019.

Concrete Action Representation Model: from Neuroscience to Robotics. John Nassour, Tran Duy Hoa, Payam Atoofi, and Fred Hamker. Accepted for publication in IEEE Transactions on Cognitive and Developmental Systems. [in press]. 


A Humanoid Robot Learns to Recover Perturbation During Swinging Motion. Tran Duy Hoa, Fred Hamker, John Nassour. IEEE Transactions on System Man, and Cybernetics: Systems. 1:12, 21 December 2018.

Design of New Sensory Soft Hand: Combining Air-Pump Actuation with Superimposed Curvature and Pressure Sensors. John Nassour, Vishal Ghadiya, Vincent Hugel, Fred Hamker. The First IEEE-RAS International Conference on Soft Robotics (RoboSoft2018). Livorno, Italy, April 24-28, 2018.  

Learning of Central Pattern Generator Coordination in Robot DrawingPayam Atoofi, Fred H. Hamker, John Nassour. Frontiers in Neurorobotics. 12: 44, 2018.

Gait Transition between Simple and Complex Locomotion in Humanoid Robots. Sidhdharthkumar Vaghani, Yuxiang Pan, Fred Hamker, John Nassour. The 15th International Conference on the Simulation of Adaptive Behavior (SAB2018). Frankfurt, Germany, 26 July, 2018. 

Tactile and Proximity Servoing by A Multi-modal Sensory Soft Hand. John Nassour, Fred Hamker. The International Symposium on Wearable Robotics (Werob2018). Pisa, Italy, 14 October, 2018.  

Design of Soft Exosuit for Elbow Assistance Using Butyl Tubes Rubber and Textile. John Nassour, Sidhdharthkumar Vaghani, Fred Hamker. The International Symposium on Wearable Robotics (Werob2018). Pisa, Italy, 14 October, 2018.  

Humanoid robot grasping with a soft gripper through a learned inverse model of a central pattern generator and tactile servoing. Yuxiang Pan, Fred Hamker, John Nassour. IEEE International Conference on Humanoid Robots (HUMANOIDS 2018), Beijing, China, November 6-9, 2018.

Motor Program Learning for Humanoid Robot Drawing. Deepanshu Makkar, Payam Atoofi, Fred Hamker, John Nassour. IEEE International Conference on Humanoid Robots (HUMANOIDS 2018), Beijing, China, November 6-9, 2018.


Minimized-Torque-Oriented Design of Parallel Modular Mechanism for Humanoid WaistMouna Souissi, Vincemt Hugel, Samir Garbaya, John Nassour. Advances in Robot Kinematics, Volume: 4, Page(s): 171-180, 2016.


Learning Diverse Motor Patterns with a single Multi-Layered Multi-Pattern CPG for a Humanoid Robot. Shoubhik Debnath, John Nassour and Gordon Cheng. IEEE International Conference on Humanoid Robots (HUMANOIDS 2014), Madrid, Spain, November 18th-20th, 2014. http://doi,org/10.1109/HUMANOIDS.2014.7041489

Extending Cortical-Basal Inspired Reinforcement Learning Model with Success-Failure Experience. Shoubhik Debnath, John Nassour. Paper accepted for publication in IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EPIROB), Genoa, Italy, October 13th-16th, 2014.

Multi-Layered Multi-Pattern CPG for Adaptive Locomotion of Humanoid Robots. John Nassour, Patrick Hénaff, Fathi Ben Ouezdou and Gordon Cheng. Journal of Biological Cybernetics, Volume: 108, Issue: 3, Page(s): 291-303, June 2014.

Success-Failure Learning for Humanoid: study on bipedal walking. John Nassour. Joint-PhD ThesisTechnical University of Munich (Germany) & University of Versailles (France), 2014.


Qualitative Adaptive Reward Learning with Success Failure Maps: Applied to Humanoid Robot Walking. John Nassour, Vincent Hugel, Fethi Benouezdou and Gordon Cheng. IEEE Transactions on Neural Networks and Learning Systems. Volume: 24, Issue: 1, Page(s): 81-93. January, 2013.                       


Cognitive development through a neurologically-based learning framework. John Nassour and Gordon Cheng. Paper in Workshop on Developmental Robotics, International Conference on Humanoid Robots, Osaka, Japan, Nov. 29th - Dec. 1st, 2012.

Biologically-inspired neural controller based on adaptive reward learning. John Nassour and Gordon Cheng. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference 2012. doi: 10.3389/conf.fncom.2012.55.00164.

Exploiting past success failure for effective and robust task learning. John Nassour, Fathi Ben Ouezdou and Gordon Cheng. Proceedings of the 5th International Conference on Cognitive Systems (CogSys2012), Vienna, Austria, poster No.81, 2012.


Experience-based Learning Mechanism with a Concept of Vigilance. John Nassour, Patrick Hénaff, Fathi Ben Ouezdou and Gordon Cheng. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011.  

Bipedal Locomotion Control with Rhythmic Neural Circuits. John Nassour, Patrick Hénaff, Fathi Ben Ouezdou and Gordon Cheng. International workshop on bio-inspired robots. 6-8 April 2011. Nantes, France. 


A Study of Adaptive Locomotive Behaviors of a Biped Robot: Patterns Generation and Classification. John Nassour, Patrick Hénaff, Fathi Ben Ouezdou and Gordon Cheng. Lecture Notes in Computer Science, 2010, Volume 6226, From Animals to Animats 11, Pages 313-324.

Adaptive Locomotive Behaviors of a Biped Robot: Patterns Generation and Classification, (Abstract). John Nassour, Patrick Hénaff, Fathi Ben Ouezdou and Gordon Cheng. Les journées nationales de la robotique humanoïde 3 - 4 Juin 2010. Poitiers, France. 


Experience-based Learning Mechanism for Neural Controller Adaptation: Application to Walking Biped Robots. John Nassour, Patrick Henaff, Fethi Ben Ouezdou and Gordon Cheng. In IEEE/RSJ International Conference on Intelligent Robots and Systems. St. Louis, MO, USA.

Copyright © 2014. John Nassour. All Rights Reserved.