Suhail Kazi

About

Suhail Kazi is a robotics researcher whose work spans soft actuation, precision control, and autonomous navigation. His primary contributions lie in the control of pneumatic artificial muscle (PAM) actuated systems, where he has demonstrated practical implementations of active force control combined with iterative learning and fuzzy logic to overcome the inherent nonlinearities and time-varying dynamics of these compliant actuators. His 2012 paper on this topic, with 13 citations, remains a key reference for hardware-in-the-loop simulation approaches. Kazi also advanced miniature parallel robotics, developing a 30 mm × 30 mm Stewart platform driven by TiNiCu shape-memory-alloy actuators—a notable achievement in micro-manipulation. Beyond actuation, his work on Simultaneous Localization and Mapping (SLAM) and occupancy grid mapping for mobile robots, using laser rangefinders and inverse range sensor models, demonstrates a breadth of expertise from low-level control to high-level perception. With a portfolio that bridges theoretical control strategies and real-world hardware implementation, Kazi’s research continues to inform the design of more capable, compliant, and autonomous robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Practical active force control with iterative learning scheme applied to a pneumatic artificial muscle actuated robotic arm

   13 citations · 2012
2. 2
   Development of Miniature Stewart Platform Using TiNiCu Shape-Memory-Alloy Actuators

   10 citations · 2015
3. 3
   CONTROL OF A SINGLE LINK ROBOT ARM ACTUATED BY PNEUMATIC ARTIFICIAL MUSCLES EMPLOYING ACTIVE FORCE CONTROL AND FUZZY LOGIC VIA HARDWARE-IN-THE-LOOP-SIMULATION

   5 citations · 2013
4. 4
   A Review: Simultaneous Localization and Mapping Algorithms

   4 citations · 2015
5. 5
   2D occupancy grid mapping with inverse range sensor model

   2 citations · 2015

Key Collaborators

Contact & Links