Papers
11
Total Citations
158
H-Index
7
About
Ishan Chawla is a robotics researcher whose work sits at the intersection of advanced control theory and cable-driven parallel robot (CDPR) design. His primary research areas include nonlinear control systems, underactuated dynamics, and the kineto-static analysis of large-scale robotic platforms. Chawla’s most significant contributions lie in developing robust stabilization strategies for inverted pendulums—a classic benchmark for nonlinear, unstable systems—and in advancing the modeling and workspace optimization of cable-driven robots. His 2021 paper on LQR-based sliding mode control for rotary inverted pendulums has garnered 40 citations, while his neural network approach to solving the inverse kineto-static problem for CDPRs has earned 29 citations. He has also tackled practical challenges in large-scale cable-driven printing robots, considering cable mass, elasticity, and mobile platform orientation. Notably, his work on wrench-feasible workspace computation has improved computational efficiency for over-constrained CDPRs. With over 150 total citations across his publications, Chawla’s research bridges theoretical control innovations with real-world robotic applications, from self-balancing systems to additive manufacturing.
Research Focus
Key Achievements
Top Papers
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- 7Robust LQR Based ANFIS Control of x-z Inverted Pendulum8 citations · 2019
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- 10Miniaturization of a Planar Cable-Driven 3D Printer using Optimization3 citations · 2020