5 citations · 5 across the 5 of their papers we have counts for
5 papers
Nonlinear Model Predictive Control for Trajectory Tracking of Differentially Flat Fixed-Wing Aerial Systems
Nishanth Bobbili, Pratyaksh Rao, Luca Morando +2
Planning and control of fixed-wing Unmanned Aerial Vehicles (UAVs) are challenging due to nonlinear dynamics, aerodynamic limits, and environmental disturbances. Differential flatn…
SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors
Pratyaksh Rao, Wancong Zhang, Randall Balestriero +2
Accurate dynamics models are critical for informed decision-making in robotic systems, particularly for agile aerial vehicles operating under uncertainty. Neural network dynamics m…
Learning Long-Horizon Predictions for Quadrotor Dynamics
Pratyaksh Prabhav Rao, Alessandro Saviolo, Tommaso Castiglione Ferrari +1
Accurate modeling of system dynamics is crucial for achieving high-performance planning and control of robotic systems. Although existing data-driven approaches represent a promisi…
Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories
Alessandro Saviolo, Pratyaksh Rao, Vivek Radhakrishnan +2
Visual control enables quadrotors to adaptively navigate using real-time sensory data, bridging perception with action. Yet, challenges persist, including generalization across sce…
QuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in Power Line Segmentation of Aerial Images
Pratyaksh Prabhav Rao, Feng Qiao, Weide Zhang +4
Accurate segmentation of power lines in aerial images is essential to ensure the flight safety of aerial vehicles. Acquiring high-quality ground truth annotations for training a de…