Ali Leylavi Shoushtari

About

Ali Leylavi Shoushtari is a robotics researcher whose work spans human-inspired robot control, soft robotics, and agricultural automation. With a career rooted in understanding how biological systems inform machine intelligence, his research has consistently sought to bridge neuroscience, biomechanics, and engineering to advance robot capabilities. His early contributions focused on humanoid robots, including posture prediction and human-like motion modeling, drawing inspiration from how the central nervous system manages redundancy — work that laid the foundation for his bio-inspired kinematic control algorithm for redundant manipulators (2016, 16 citations). A comprehensive review of robotic interaction control published that same year became his most-cited work (20 citations), reflecting the breadth of his expertise across hardware and software control paradigms. His exploration of dynamic locomotion through soft-limbed robots (2015, 10 citations) and the novel INFORA inflatable origami actuator (2019) demonstrate a strong thread of innovation in soft robotics. More recently, Shoushtari has turned his attention to agricultural robotics, applying Learning from Demonstration to automate complex apple-harvesting workflows (2024, 8 citations) and investigating how robotic handling affects soft fruit quality across supply chains. Cumulatively, his diverse portfolio reflects a researcher dedicated to making robots more adaptable, safer, and genuinely useful in real-world environments.

Research Focus

Key Achievements

Top Papers

1. 1
   A review on the evolvement trend of robotic interaction control

   20 citations · 2016
2. 2
   Bio-inspired kinematical control of redundant robotic manipulators

   16 citations · 2016
3. 3
   Dynamic Walking with a Soft Limb Robot

   10 citations · 2015
4. 4
   Using Learning from Demonstration (LfD) to perform the complete apple harvesting task

   8 citations · 2024
5. 5
   Modelling and Simulation of Human-like Movements for Humanoid Robots

   7 citations · 2012
6. 6
   INFORA: A Novel Inflatable Origami-based Actuator

   7 citations · 2019
7. 7
   Realistic Dynamic Posture Prediction of Humanoid Robot: Manual Lifting Task Simulation

   5 citations · 2012
8. 8
   Posture prediction of humanoid robot: Modeling and simulation of manual lifting

   3 citations · 2012
9. 9
   Measuring the response of soft fruits to robotic handling

   2 citations · 2025
10. 10
    Robot body self-modeling algorithm: a collision-free motion planning approach for humanoids

    2 citations · 2016

Key Collaborators

Contact & Links