About

Vamsi Krishna Guda is a robotics researcher whose work centers on human-robot interaction, safety-critical systems, and haptic perception in virtual and physical environments. His research addresses one of the central challenges in modern robotics: enabling collaborative robots to operate safely and effectively alongside humans in shared workspaces. Through innovative applications of Gaussian processes for motion prediction, Guda has developed frameworks that anticipate human movement to minimize collision risks — a contribution of significant practical value in industrial and assistive robotics settings. His investigations into haptic interfaces have advanced understanding of how users can intuitively interact with virtual environments through robotic arms, particularly in intermittent contact scenarios where passive and active robot states must transition smoothly and safely. His trajectory planning research further demonstrates a commitment to dynamic, real-world applicability. More recently, Guda contributed to the euROBIN robotics hackathon, exploring heterogeneous robot teams for autonomous parcel delivery — highlighting his expanding interest in multi-robot coordination and service robotics. With papers accumulating citations across conferences and journals since 2020, Guda's body of work is gaining recognition in the human-robot interaction community, making him a promising contributor to the future of safe, collaborative autonomous systems.

Research Focus

Key Achievements

5
H-Index
5
Papers
32
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Motion Prediction With Gaussian Processes for Safe Human–Robot Interaction in Virtual Environments
8 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 71
🏛 Institutions: Institut Systèmes Intelligents et de Robotique, Centre National de la Recherche Scientifique, Laboratoire des Sciences du Numérique de Nantes

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago