Research · 04
Robotics, Control and Autonomous Systems
This theme brings the laboratory's control-theoretic foundation together with robotics: modelling and controlling physical systems — from manipulators and assistive devices to mobile and autonomous platforms — under uncertainty, changing dynamics and incomplete sensing.
Work spans classical, adaptive and intelligent control, robotic manipulation and haptics, motion planning and navigation, and the integration of perception with real-time decision making in unstructured environments.
- Robotics
- Adaptive control
- Autonomous systems
- Motion planning
- Haptics
Related Publications
All publications →2025
ASTRA Glove: A Wearable Tracking Device for “Accurate Sensing and Tracking of Realtime Articulations”
Ali Nikkhah Bahrami, Mohammad Reza Nayeri, Reza Almasi Ghaleh, Behzad Moshiri
IEEE Sensors Journal
2020
Fuzzy adaptive control of a knee-joint orthosis for the smooth tracking
E. N. Sadjadi, M. B. Menhaj, D. S. Zadeh, B. Moshiri
IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
2010
Adaptive generalized predictive control and model reference adaptive control for CSTR Reactor
Mahboobeh delbari, Karim Salahshoor, Behzad Moshiri
2010
2006
Wavelet-Based Identification and Control Design for a Class of Nonlinear Systems
Hamid Reza Karimi, Boris Lohmann, Behzad Moshiri, Parviz Jabehdar Maralani
International Journal of Wavelets Multiresolution and Information Processing