1 citations · 3 across the 7 of their papers we have counts for
7 papers
Learning Approach to Efficient Vision-based Active Tracking of a Flying Target by an Unmanned Aerial Vehicle
Jagadeswara PKV Pothuri, Aditya Bhatt, Prajit KrisshnaKumar +2
Autonomous tracking of flying aerial objects has important civilian and defense applications, ranging from search and rescue to counter-unmanned aerial systems (counter-UAS). Groun…
Exploring Efficient Quantification of Modeling Uncertainties with Differentiable Physics-Informed Machine Learning Architectures
Manaswin Oddiraju, Bharath Varma Penumatsa, Divyang Amin +2
Quantifying and propagating modeling uncertainties is crucial for reliability analysis, robust optimization, and other model-based algorithmic processes in engineering design and c…
Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator
Manaswin Oddiraju, Zaki Hasnain, Saptarshi Bandyopadhyay +2
Modeling thermal states for complex space missions, such as the surface exploration of airless bodies, requires high computation, whether used in ground-based analysis for spacecra…
Physics-Infused Machine Learning Based Prediction of VTOL Aerodynamics with Sparse Datasets
Manaswin Oddiraju, Divyang Amin, Michael Piedmonte +1
Complex optimal design and control processes often require repeated evaluations of expensive objective functions and consist of large design spaces. Data-driven surrogates such as…
Conceptual Design of Cellular Auxetic Systems with Passive Adaptation to Loading
Joshua Prendergast, Manaswin Oddiraju, Mostafa Nouh +1
Auxetics refer to a class of engineered structures which exhibit an overall negative Poisson's ratio. These structures open up various potential opportunities in impact resistance,…
Efficient Inverse Design of 2D Elastic Metamaterial Systems Using Invertible Neural Networks
Manaswin Oddiraju, Amir Behjat, Mostafa Nouh +1
Locally resonant elastic metamaterials (LREM) can be designed, by optimizing the geometry of the constituent self-repeating unit cells, to potentially damp out vibration in selecte…