Papers

14

Total Citations

116

H-Index

6

About

Dr. Kshitij Tiwari is a robotics researcher whose work centers on resource-constrained autonomy, tactile perception, and multi-robot systems. His major contributions lie in developing mathematical frameworks to estimate the operational range of mobile robots operating on a single battery discharge, preventing complete immobilization during critical missions—a problem addressed in his most-cited work (32 citations). He has pioneered multimodal representation learning for place recognition using deep Hebbian predictive coding (21 citations), enabling robots to robustly recognize familiar environments by fusing sensory data. Tiwari also advanced decentralized active sensing for robot teams through distributed Gaussian processes (14 citations), allowing efficient environmental monitoring under communication and resource constraints. His notable achievements include introducing visibility-inspired models of touch sensors for navigation and developing monofilament whisker-based tactile sensors for mobile robots, drawing inspiration from rodent and pinniped biology. With over 100 total citations across his publications, Tiwari’s research bridges theoretical modeling and practical deployment, addressing fundamental challenges in robot endurance, perception, and collaborative autonomy. His work on resource-constrained informative path planning with homing guarantees for multi-UAV systems further demonstrates his commitment to operational efficacy in real-world scenarios.

Research Focus

Key Achievements

6
H-Index
14
Papers
116
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A unified framework for operational range estimation of mobile robots operating on a single discharge to avoid complete immobilization
32 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Japan Advanced Institute of Science and Technology, Aalto University, University of Oulu

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago