Yasmin Ansari
Papers
8
Total Citations
908
H-Index
6
About
Yasmin Ansari is a robotics researcher whose work sits at the intersection of soft robotics, control theory, and assistive technology. Her research focuses on developing intelligent control strategies for soft and continuum robotic manipulators — systems that, unlike traditional rigid robots, exhibit compliance, dexterity, and inherent safety in human-robot interaction. Ansari's most influential contribution is her comprehensive 2018 survey on control strategies for soft robotic manipulators, which has accumulated over 620 citations and stands as a foundational reference in the field. Her work on assistive robotics is particularly notable: she has pioneered the use of soft robotic technologies to design shower-assist manipulators for elderly care, with two papers from 2017 each garnering over 110 citations. These contributions bridge the gap between theoretical robotics and real-world humanitarian applications. Beyond assistive systems, Ansari has explored multiobjective optimization for stiffness and position control, multiagent reinforcement learning for inverse kinematics in high-dimensional manipulators, and adaptive learning-based tracking algorithms. Her broader portfolio also addresses soft robotics in industrial contexts and dynamic locomotion. Collectively, her work has helped shape the emerging frameworks needed to make soft robotic systems practically deployable and reliably controllable.
Research Focus
Key Achievements
Top Papers
- 1Control Strategies for Soft Robotic Manipulators: A Survey624 citations · 2018
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- 5Dynamic Walking with a Soft Limb Robot10 citations · 2015
- 6Soft Robotic Technologies for Industrial Applications9 citations · 2015
- 7Point-to-point motion controller for soft robotic manipulators6 citations · 2016
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