Murali Krishna Pasupuleti

Mitchell Institute, Texas A&M University

Papers

5

Total Citations

65

H-Index

2

About

Dr. Murali Krishna Pasupuleti is a pioneering researcher whose work spans the frontiers of robotics, artificial intelligence, and sustainable technology. His early career established him as a leader in bipedal locomotion, where he developed human-inspired control strategies for underactuated robots. His seminal work on the AMBER platform (2012, 29 citations) demonstrated provably stable walking across flat ground, slopes, and uneven terrain, while his formal methods paper (2013, 33 citations) bridged theoretical guarantees with real-world robotic implementation—foundational contributions to the field of dynamic walking. More recently, Dr. Pasupuleti has expanded into transformative AI applications. His 2025 work on end-to-end emotion recognition from raw audio introduces speaker-aware, noise-resilient, and multimodal adaptive learning, pushing the boundaries of human-computer interaction. He is also advancing food security through AI-driven precision agriculture and biotechnologies, and exploring the cutting edge of autonomous quantum manufacturing, where robotics and quantum AI optimize chip fabrication in real time. With a career that bridges classical robotics and next-generation intelligent systems, Dr. Pasupuleti continues to shape how machines perceive, move, and interact with the world.

Research Focus

Key Achievements

2
H-Index
5
Papers
65
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
From Formal Methods to Algorithmic Implementation of Human Inspired Control on Bipedal Robots
33 citations · 2013
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Mitchell Institute, Texas A&M University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago