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2020 – today
- 2026
[i14]Bala Prenith Reddy Gopu, Patrick Quinn, George Nehma, Madhur Tiwari, Matt Ueckermann, David Hinckley, Christopher McKenna:
From Images2Mesh: A 3D Surface Reconstruction Pipeline for Non-Cooperative Space Objects. CoRR abs/2605.00147 (2026)- [i13]Patrick Quinn, Bala Prenith Reddy Gopu, George Nehma, Madhur Tiwari:
Simulation Based Reward Function Validation for Multi-Agent On Orbit Inspection. CoRR abs/2607.01367 (2026) - 2025
- [j3]Kevin Johnston
, Musabbir Ahmed Arrafi, Krishna Bhavithavya Kidambi, Madhur Tiwari:
Adaptive Modified RISE Control for Quadrotors: Enhancing Trajectory Tracking Through Uncertainty Compensation. IEEE Access 13: 169166-169177 (2025) - [i12]Patrick Quinn, George Nehma, Madhur Tiwari:
End-to-End Imitation Learning for Optimal Asteroid Proximity Operations. CoRR abs/2502.01034 (2025) - [i11]Timothy Jacob Huber, Madhur Tiwari, Camilo A. Riano-Rios:
Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems. CoRR abs/2507.22279 (2025) - [i10]Morokot Sakal, George Nehma, Camilo A. Riano-Rios, Madhur Tiwari:
Real-time Testing of Satellite Attitude Control With a Reaction Wheel Hardware-In-the-Loop Platform. CoRR abs/2508.19164 (2025) - [i9]Bala Prenith Reddy Gopu, Timothy Jacob Huber, George Nehma, Patrick Quinn, Madhur Tiwari, Matt Ueckermann, David Hinckley, Christopher McKenna:
Dynamic Scene 3D Reconstruction of an Uncooperative Resident Space Object. CoRR abs/2509.07932 (2025) - 2024
- [j2]Trupti Mahendrakar, Ryan T. White, Madhur Tiwari, Markus Wilde:
Unknown Non-Cooperative Spacecraft Characterization with Lightweight Convolutional Neural Networks. J. Aerosp. Inf. Syst. 21(5): 455-460 (2024) - [i8]George Nehma, Madhur Tiwari, Manasvi Lingam:
Deep Learning Based Dynamics Identification and Linearization of Orbital Problems using Koopman Theory. CoRR abs/2403.08965 (2024) - [i7]George Nehma, Madhur Tiwari:
Leveraging KANs For Enhanced Deep Koopman Operator Discovery. CoRR abs/2406.02875 (2024) - [i6]Trupti Mahendrakar, Ryan T. White, Madhur Tiwari:
SpY: A Context-Based Approach to Spacecraft Component Detection. CoRR abs/2406.18709 (2024) - 2023
- [j1]Madhur Tiwari, George Nehma, Bethany Lusch:
Computationally Efficient Data-Driven Discovery and Linear Representation of Nonlinear Systems for Control. IEEE Control. Syst. Lett. 7: 3373-3378 (2023) - [i5]Omar Qasem, Madhur Tiwari, Hector Gutierrez:
Autonomous Satellite Docking via Adaptive Optimal Output Rregulation: A Reinforcement Learning Approach. CoRR abs/2301.12489 (2023) - [i4]Trupti Mahendrakar, Ryan T. White, Markus Wilde, Madhur Tiwari:
SpaceYOLO: A Human-Inspired Model for Real-time, On-board Spacecraft Feature Detection. CoRR abs/2302.00824 (2023) - [i3]Krishna Bhavithavya Kidambi, Madhur Tiwari, Emmanuel Ogbanje Ijoga, William MacKunis:
Adaptive Modified RISE-based Quadrotor Trajectory Tracking with Actuator Uncertainty Compensation. CoRR abs/2303.10270 (2023) - [i2]Madhur Tiwari, George Nehma, Bethany Lusch:
Computationally Efficient Data-Driven Discovery and Linear Representation of Nonlinear Systems For Control. CoRR abs/2309.04074 (2023) - 2022
- [c1]Krishna Bhavithavya Kidambi, Madhur Tiwari, Anu Kossery Jayaprakash, William MacKunis, Vladimir V. Golubev:
A Sliding Mode Observer-based Limit Cycle Oscillation Suppression using a Robust Active Flow Control Technique. CCTA 2022: 516-521 - [i1]David Zuehlke, Daniel Posada, Madhur Tiwari, Troy Henderson:
Autonomous Satellite Detection and Tracking using Optical Flow. CoRR abs/2204.07025 (2022)
Coauthor Index
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