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/ projects · 11 works

Research artifacts, deployed systems, and weird experiments.

A catalogue of projects across foundation models, multi-agent autonomy, and field robotics. Sorted by domain, not by chronology.

02 Generative AI

Diffusion models, synthetic data, and foundation models.

Ortho-Fuse: Orthomosaic Generation

Intermediate optical flow estimation for orthomosaic creation from sparse aerial images. High-quality crop health analysis with reduced overlap (50% vs. 70-80%).

Optical FlowVisionAgricultureICPP 2025

03 Generative AI × Robotics

Combining foundation models with embodied control.

World Foundation Models + VLA

Augmented real-world video datasets for VLA training, addressing data scarcity with minimal trajectories. Enables sample-efficient policy training.

VLAWorld ModelsFoundation ModelsRobotics

Wildlife Digital Twin

Photoreal NVIDIA Omniverse simulation with generative animal behaviors, herd dynamics, and drone responses. Reduces field deployment costs.

OmniverseDigital TwinsPhysics SimWildlife AI

SmartWilds: Multimodal Dataset

Synthetic multimodal dataset for wildlife behaviors using world models. Boosts robust classification from scarce data.

World ModelsWildlife AIMultimodalDataset

06 Robotics

Autonomous systems, multi-agent coordination, robot control.

Autonomous Vineyard Rover

Segmentation neural network and depth sensing for lane centering on uneven terrain. Robust navigation with 40° slip compensation in real fields.

NavigationVisionAgricultureDepth

Multi-Agent RL for Crop Scouting

CNN + RL for heterogeneous agents in agriculture. 60% scouting reduction, 80% accuracy, 4.8× labor savings, 36% farmer profit boost.

MARLAgricultureCNNOptimization