Asesh Patra
Papers
1
Total Citations
1
H-Index
1
About
Asesh Patra is a robotics researcher whose work centers on the locomotion and control of hyper-redundant modular robots—highly flexible systems composed of multiple segments that can adapt to complex environments. His most cited paper, "Locomotion Study of a Hyper-redundant Modular Robot Using Artificial Neural Networks" (2019), introduces a novel approach where body undulations in two orthogonal planes enable a wheel-less robot to move effectively across a horizontal plane. By leveraging artificial neural networks, Patra demonstrates how these robots can achieve coordinated, serpentine-like motion without traditional wheels or legs, a key contribution to the field of bio-inspired robotics. Though his citation count is modest, his work addresses fundamental challenges in modular robot mobility, offering insights into adaptive locomotion strategies that could be applied in search-and-rescue, exploration, or confined-space operations. Patra’s research stands out for its integration of neural network control with mechanical design, paving the way for more autonomous and versatile robotic systems.
Research Focus
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Top Papers
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