Milad S. Malekzadeh

Publication Activity (10 Years)

Years Active: 2013-2019
Publications (10 Years): 5

Top Topics

Partially Observable

Control Architecture

Sensory Feedback

Gaussian Process Regression

Top Venues

AAAI Fall Symposia

Publications

Milad S. Malekzadeh, Jeffrey F. Queißer, Jochen J. Steil
Multi-level control architecture for Bionic Handling Assistant robot augmented by learning from demonstration for apple-picking. Adv. Robotics 33 (9) (2019)
Pouya Mohammadi, Enrico Mingo Hoffman, Niels Dehio, Milad S. Malekzadeh, Martin A. Giese, Nikos G. Tsagarakis, Jochen J. Steil
Compliant Humanoids Moving Toward Rehabilitation Applications: Transparent Integration of Real-Time Control, Whole-Body Motion Generation, and Virtual Reality. IEEE Robotics Autom. Mag. 26 (4) (2019)
Sven Tittel, Milad S. Malekzadeh, Jochen J. Steil
Full 6-DOF Admittance Control for the Industrial Robot Stäubli TX60. CASE (2019)
Tohid Alizadeh, Milad S. Malekzadeh, Soheila Barzegari
Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression. AIM (2016)
Tohid Alizadeh, Milad S. Malekzadeh
Identifying the relevant frames of reference in programming by demonstration using task-parameterized Gaussian mixture regression. SII (2016)
Danilo Bruno, Sylvain Calinon, Milad S. Malekzadeh, Darwin G. Caldwell
Learning the Stiffness of a Continuous Soft Manipulator from Multiple Demonstrations. ICIRA (3) (2015)
Sylvain Calinon, Danilo Bruno, Milad S. Malekzadeh, D. P. Thrishantha Nanayakkara, Darwin G. Caldwell
Human-robot skills transfer interfaces for a flexible surgical robot. Comput. Methods Programs Biomed. 116 (2) (2014)
Milad S. Malekzadeh, Sylvain Calinon, Danilo Bruno, Darwin G. Caldwell
A Skill Transfer Approach for Continuum Robots - Imitation of Octopus Reaching Motion with the STIFF-FLOP Robot. AAAI Fall Symposia (2014)
Milad S. Malekzadeh, Danilo Bruno, Sylvain Calinon, D. P. Thrishantha Nanayakkara, Darwin G. Caldwell
Skills transfer across dissimilar robots by learning context-dependent rewards. IROS (2013)