2 citations · 3 across the 6 of their papers we have counts for
10 papers
Traversability-Aware Cooperative Path Planning for Human-UGV Casualty Evacuation
Kristian Dalland, Prithvi Poddar, Souma Chowdhury +2
Heterogeneous multi-robot path planning is a well-studied problem in which agents with disparate kinematic and dynamic models must coordinate to achieve shared objectives. These fo…
HOPHY: A Hierarchical Hypergraph Representation for Off-Road Path and Mission Planning
Pranay Meshram, Charuvahan Adhivarahan, Prithvi Poddar +4
Mission-level autonomy for disaster response, search and rescue, and tactical UGV operations requires repeated path and mission planning as terrain conditions, agent types, and obj…
Faster Thermal Profiling of a Lunar Rover with Machine Learning Adapted Finite Difference Model
Samuel Weber, Zaki Hasnain, Souma Chowdhury
Autonomous space systems operating in extreme thermal environments require accurate and efficient thermal modeling to support both pre-mission system design and onboard autonomy. F…
Learning When to Jump for Off-road Navigation
Zhipeng Zhao, Taimeng Fu, Shaoshu Su +5
Low speed does not always guarantee safety in off-road driving. For instance, crossing a ditch may be risky at a low speed due to the risk of getting stuck, yet safe at a higher sp…
CLEAR: A Semantic-Geometric Terrain Abstraction for Large-Scale Unstructured Environments
Pranay Meshram, Charuvahan Adhivarahan, Ehsan Tarkesh Esfahani +3
Long-horizon navigation in unstructured environments demands terrain abstractions that scale to tens of square kilometers while preserving semantic and geometric structure. Grids s…
Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning
Prithvi Poddar, Ehsan Tarkesh Esfahani, Karthik Dantu +1
Operations in disaster response, search \& rescue, and military missions that involve multiple agents demand automated processes to support the planning of the courses of action (C…
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…
Learning-aided Bigraph Matching Approach to Multi-Crew Restoration of Damaged Power Networks Coupled with Road Transportation Networks
Nathan Maurer, Harshal Kaushik, Roshni Anna Jacob +2
The resilience of critical infrastructure networks (CINs) after disruptions, such as those caused by natural hazards, depends on both the speed of restoration and the extent to whi…
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…
AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation
Taimeng Fu, Zitong Zhan, Zhipeng Zhao +7
Off-road navigation is critical for a wide range of field robotics applications from planetary exploration to disaster response. However, it remains a longstanding challenge due to…