Wriddhi Chakraborty

University of Notre Dame

Papers

1

Total Citations

90

H-Index

1

About

Wriddhi Chakraborty’s research lies at the intersection of neuromorphic engineering, nonlinear dynamics, and bio-inspired robotics, with a focus on harnessing coupled oscillatory systems for adaptive locomotion. In his most-cited work, “Programmable coupled oscillators for synchronized locomotion” (2019, 90 citations), Chakraborty draws a compelling parallel between biological gait patterns—governed by central pattern generators in the spinal cord—and the phase evolution of programmable oscillator networks. This contribution provides a foundational framework for embedding neural-like rhythmic control into robotic platforms, enabling more natural and energy-efficient movement. His work bridges theoretical insights from synchronization theory with practical hardware implementation, offering a scalable approach to gait generation without complex sensory feedback. By demonstrating how simple coupling rules can produce diverse locomotion patterns, Chakraborty has opened new pathways for legged robots, prosthetics, and exoskeletons. His research is widely cited in both robotics and computational neuroscience communities, reflecting its interdisciplinary impact. Chakraborty’s ability to translate biological principles into engineered systems marks him as a rising voice in the quest for truly autonomous, adaptive machines.

Research Focus

Key Achievements

1
H-Index
1
Papers
90
Total Citations
90
Avg Citations/Paper
🏆 Most Cited Paper
Programmable coupled oscillators for synchronized locomotion
90 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Notre Dame

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago