Papers

3

Total Citations

114

H-Index

2

About

Aravind E. Vijayan’s research lies at the intersection of legged locomotion, human-robot interaction, and bio-signal control, with a focus on enabling robots to operate intelligently in unstructured environments. His most impactful work, “Perceptive Locomotion in Rough Terrain – Online Foothold Optimization” (109 citations), introduces a hierarchical planner coupled with a foothold optimizer that tightly integrates terrain perception into legged robot control—a critical step toward realizing the full potential of legged systems over wheeled vehicles in challenging terrain. Vijayan also explores real-time synchronization of verbal and nonverbal robot behavior using constrained optimization, addressing the often-overlooked issue of joint angular velocity limits in robotic motion retargeting. Earlier in his career, he investigated electromyography (EMG)-based control of robotic arms, proposing a novel method using entropy and zero-crossing rate to translate biological signals into robot commands. This work highlights his versatility, spanning from low-level signal processing to high-level planning. With a growing citation footprint and contributions that bridge perception, control, and human-robot interaction, Vijayan is a rising figure in robotics whose work promises to make robots more adaptive, expressive, and useful in real-world settings.

Research Focus

Key Achievements

2
H-Index
3
Papers
114
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Perceptive Locomotion in Rough Terrain – Online Foothold Optimization
109 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Oerlikon (Switzerland), KTH Royal Institute of Technology, National Institute of Technology Calicut

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago