2 citations · 2 across the 2 of their papers we have counts for
6 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…
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…
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…