Papers

5

Total Citations

58

H-Index

4

About

Shiv A. Katiyar’s research lies at the intersection of bio-inspired robotics, soft robotics, and energy-efficient locomotion, with a focus on how adaptive morphology and complex dynamics can transform robotic performance. His early work on bipedal gait modeling—specifically the 2013 paper on imitating human gait patterns for sagittal plane movement (39 citations)—established a foundation for behavior-based programming in humanoid robots, demonstrating how robots can recover from perturbations by learning from human motion. More recently, Katiyar has pioneered the integration of energy harvesting into soft robots, a critical step toward self-sustaining, adaptive systems. His 2022 paper on energy harvesting for robots with adaptive morphology (9 citations) and his 2018 study on morphological adaptation in vibration-based robots (4 citations) show how elastic materials can be exploited to generate efficient, desirable behaviors without complex control. His 2025 comprehensive review of soft wearable rehabilitation devices, particularly lower-limb exoskeletons (4 citations), underscores his commitment to translating these principles into assistive technologies for an aging population. Katiyar’s work is notable for bridging theoretical morphological computation with practical, low-cost robot design, advancing both the science and application of energy-efficient, adaptive robotics.

Research Focus

Key Achievements

4
H-Index
5
Papers
58
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Biped model based on human Gait pattern parameters for sagittal plane movement
39 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Indian Institute of Information Technology Allahabad, Monash University Malaysia, University of Birmingham

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago