To develop a neuro-inspired model (deep learning in convolution networks) of spoken language understanding for modulating actions. Humans often use short warnings to communicate a threatening situation to another human. If robots are to interact with humans in safe open spaces they will have to be able to listen to those warnings that humans naturally generate and adapt their behaviour accordingly.
The result will be an auditory-guided robot which can protect its body or change its current behaviour based on auditory warnings. We will study how the auditory input (e.g. sound, word) can trigger actions from simple actions toward action sequences and will develop an architecture for a robot that learns safe movements guided by auditory cues based on previously learned experiences.
Mohammad Ali Zamani, Sven Magg, Cornelius Weber, Di Fu, and Stefan Wermter
Paladyn. Journal of Behavioral Robotics, Volume 9, pages 358-–373 - Nov 2018.
Hadi Beik-Mohammadi, Matthias Kerzel, Michael Görner, Mohammad Ali Zamani, Manfred Eppe, Stefan Wermter (2018, Sep)
IROS 2018 Workshop on Machine Learning in Robot Motion Planning - Sep 2018.
Matthias Kerzel, Hadi Beik-Mohammadi, Mohammad Ali Zamani, and Stefan Wermter (2018, July)
Accelerating Deep Continuous Reinforcement Learning through Task Simplification.
International Joint Conference on Neural Networks (IJCNN), 2018.
Egor Lakomkin, Mohammad Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter
EmoRL:Real-time Acoustic Emotion Classification using Deep Reinforcement Learning
International Conference on Robotics and Automation (ICRA) - May 2018.
Mohammad Ali Zamani, Sven Magg, Cornelius Weber, Stefan Wermter
ICRA PhD Forum - May 2018.
Mohammad Ali Zamani, Hadi Beik-Mohammadi, Matthias Kerzel,Sven Magg, Stefan Wermter
Learning Spatial Representation for Secure Human-Robot Collaboration in Joint Manual Tasks
ICRA workshop on the WORKplace is better with intelligent, collaborative, robot MATEs (WORKMATE) - May 2018.
Zamani, M.A., Magg, S., Weber, C., and Wermter, S. (2017, August).
In 2nd Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics (BAILAR) on Robot and Human Interactive Communication (RO-MAN), 2017 26th IEEE International Symposium on.
Short Curriculum Vitae
|since May 2016|| Research Associate (SECURE Project) of Knowledge Technology Research Group, |
Department of Computer Science, University of Hamburg, Germany.
Project: European Training Network: Safety Enables Cooperation in Uncertain Robotic Environments (SECURE)
|Aug. 2015|| M.Sc. in Computer Science 2012-2015, Ozyegin University, Istanbul, Turkey., |
M.Sc. Thesis: Simultaneous Human-Robot Learning for Efficient Robot Skill Synthesis,
Supervisor: Associate Prof. Erhan Oztop.
|Sep. 2012- Aug. 2015||Research Assistant, Robotics Lab, Ozyegin University, from September 2012 up to August 2015 (Research supported by European Community's Seventh Framework Programme FP7, Converge).|
|July 2009-August 2012|| Research Assistant, System and Machine Research Lab., University of Tehran, Tehran, Iran. |
Supervisors: Dr. Alireza Fereidunian, Prof. Hamid Lesani and Prof. Caro Lucas.
|July 2009|| B.Sc. in Electrical Engineering (Control Engineering), School of ECE, University of Tehran, Tehran, Iran. |
B.Sc. Thesis: Design an Expert System for Adaptive Autonomy in Smart Grids,
Supervisors: Professor Hamid Lesani and Prof. Caro Lucas.
University of Hamburg
Department of Informatics
Vogt Koelln Str. 30
22527 Hamburg, Germany
|Phone:||+49 40 428 83 2446|
|Fax:||+49 40 428 83 2515|
|Email:||zamani at informatik [dot] uni-hamburg [dot] de|