5 papers
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…
COMBAT: Conditional World Models for Behavioral Agent Training
Anmol Agarwal, Pranay Meshram, Sumer Singh +5
Recent advances in video generation have spurred the development of world models capable of simulating 3D-consistent environments and interactions with static objects. However, a s…
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…
QAL: A Loss for Recall Precision Balance in 3D Reconstruction
Pranay Meshram, Yash Turkar, Kartikeya Singh +3
Volumetric learning underpins many 3D vision tasks such as completion, reconstruction, and mesh generation, yet training objectives still rely on Chamfer Distance (CD) or Earth Mov…
Empir3D : A Framework for Multi-Dimensional Point Cloud Assessment
Yash Turkar, Pranay Meshram, Christo Aluckal +2
Advancements in sensors, algorithms, and compute hardware have made 3D perception feasible in real time. Current methods to compare and evaluate the quality of a 3D model, such as…