Anil Kodiyan
Papers
2
Total Citations
64
H-Index
2
About
Anil Kodiyan is a roboticist whose work spans the frontiers of soft wearable robotics and bio-inspired multi-robot systems. His research focuses on developing novel actuation and control strategies to make robotic systems more adaptive, efficient, and capable in complex environments. Kodiyan’s most impactful contribution is the design and validation of a modular one-to-many actuator for soft wearable exosuits (2019, 40 citations). This work addresses a critical scaling challenge in soft robotics—how to power multiple degrees of freedom without proportionally increasing system size, weight, and power consumption—by introducing a paradigm that decouples actuation from kinematic constraints, enabling more versatile and lightweight assistive devices. In a second highly cited paper (2016, 24 citations), Kodiyan advanced the field of robotic olfaction by developing a distributed, graph-based formation control algorithm for 3-D odor source localization, extending plume tracking capabilities from restrictive 2-D scenarios to three-dimensional space. This work has implications for environmental monitoring, search-and-rescue, and industrial safety. Through these contributions, Kodiyan demonstrates a commitment to solving fundamental engineering challenges that bridge soft robotics and swarm intelligence, with clear potential for real-world impact in human augmentation and autonomous environmental sensing.
Research Focus
Key Achievements
Top Papers
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