Pardha Sai Krishna

Society of Automotive Engineers International

Papers

1

Total Citations

2

H-Index

1

About

Pardha Sai Krishna is a robotics researcher whose work focuses on advancing the autonomy and safety of mobile robots operating in challenging, unstructured outdoor environments. His primary research areas include state estimation, multi-modal sensor fusion, and robust control for wheeled mobile robots, with a particular emphasis on skid-steered platforms. Krishna’s major contribution lies in developing novel methods to characterize complex wheel-ground interactions, a critical challenge for robots traversing uneven or slippery terrain. His most cited work, "Online Identification of Skidding Modes with Interactive Multiple Model Estimation" (2025, 2 citations), introduces a framework that enables robots to detect and adapt to skidding behaviors in real time, significantly improving motion prediction and control reliability. This achievement is notable for bridging the gap between theoretical estimation models and practical deployment in field robotics. By addressing the fundamental problem of wheel-ground interaction uncertainty, Krishna’s research has direct implications for applications in agriculture, search-and-rescue, and planetary exploration, where robust autonomy is essential. His work represents an important step toward more resilient and perceptive mobile robots.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Online Identification of Skidding Modes with Interactive Multiple Model Estimation
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Society of Automotive Engineers International

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago