4 papers
Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensing
Gokul Puthumanaillam, Aditya Penumarti, Manav Vora +5
Robots equipped with rich sensor suites can localize reliably in partially-observable environments, but powering every sensor continuously is wasteful and often infeasible. Belief-…
Global Uncertainty-Aware Planning for Magnetic Anomaly-Based Navigation
Aditya Penumarti, Jane Shin
Navigating and localizing in partially observable, stochastic environments with magnetic anomalies presents significant challenges, especially when balancing the accuracy of state…
Fast Marching based Rendezvous Path Planning for a Team of Heterogeneous Vehicle
Jaekwang Kim, Hyung-Jun Park, Aditya Penumarti +1
This paper presents a formulation for deterministically calculating optimized paths for a multiagent system consisting of heterogeneous vehicles. The key idea is the calculation of…
Real-time Uncertainty-Aware Motion Planning for Magnetic-based Navigation
Aditya Penumarti, Kristy Waters, Humberto Ramos +2
Localization in GPS-denied environments is critical for autonomous systems, and traditional methods like SLAM have limitations in generalizability across diverse environments. Magn…