Papers
39
Total Citations
763
H-Index
13
About
Shital S. Chiddarwar is a prominent robotics researcher whose work spans mobile robotics, robot motion planning, trajectory generation, and intelligent control systems. Best known for contributions to omnidirectional mobile robot control, Chiddarwar's 2016 paper on adaptive robust control of Mecanum-wheeled mobile robots has garnered 147 citations, establishing a foundational reference for handling system uncertainties in complex robotic platforms. Their early work comparing RBF and MLP neural networks for solving inverse kinematics of 6R serial robots (122 citations) demonstrated innovative applications of machine learning to classical robotics problems. Chiddarwar has made significant strides in industrial automation, developing novel offline trajectory generation approaches for robot-assisted spray painting on free-form surfaces, with multiple papers collectively accumulating over 120 citations in this domain alone. The development of ReBiS—a reconfigurable bipedal snake robot capable of switching locomotion modes—highlights a creative approach to modular robot design. Further contributions in multi-robot path planning, bond graph dynamic modeling, and flatness-based nonlinear control underscore a remarkably broad yet cohesive research portfolio. With a total citation count exceeding 580 across key publications, Chiddarwar's research continues to meaningfully shape both theoretical and applied robotics.
Research Focus
Key Achievements
Top Papers
- 1Adaptive robust control of Mecanum-wheeled mobile robot with uncertainties147 citations · 2016
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- 5Incremental approach for trajectory generation of spray painting robot54 citations · 2015
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- 7ReBiS - Reconfigurable Bipedal Snake robot37 citations · 2014
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