most citedAgriNeRF: Neural Radiance Fields for Agriculture in Challenging Lighting Conditions

4 citations · 4 across the 5 of their papers we have counts for

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cs.RO2025

Heterogeneous Robot Collaboration in Unstructured Environments with Grounded Generative Intelligence

Zachary Ravichandran, Fernando Cladera, Ankit Prabhu +5

Heterogeneous robot teams operating in realistic settings often must accomplish complex missions requiring collaboration and adaptation to information acquired online. Because robo…

cs.RO2025

Real-Time Glass Detection and Reprojection using Sensor Fusion Onboard Aerial Robots

Malakhi Hopkins, Varun Murali, Vijay Kumar +1

Autonomous aerial robots are increasingly being deployed in real-world scenarios, where transparent obstacles present significant challenges to reliable navigation and mapping. The…

cs.RO2025

Gaussian Splatting as a Unified Representation for Autonomy in Unstructured Environments

Dexter Ong, Yuezhan Tao, Varun Murali +3

In this work, we argue that Gaussian splatting is a suitable unified representation for autonomous robot navigation in large-scale unstructured outdoor environments. Such environme…

cs.RO2025

Deploying Foundation Model-Enabled Air and Ground Robots in the Field: Challenges and Opportunities

Zachary Ravichandran, Fernando Cladera, Jason Hughes +5

The integration of foundation models (FMs) into robotics has enabled robots to understand natural language and reason about the semantics in their environments. However, existing F…

cs.RO2025

Air-Ground Collaboration for Language-Specified Missions in Unknown Environments

Fernando Cladera, Zachary Ravichandran, Jason Hughes +6

As autonomous robotic systems become increasingly mature, users will want to specify missions at the level of intent rather than in low-level detail. Language is an expressive and…

cs.RO2025

Robotic Monitoring of Colorimetric Leaf Sensors for Precision Agriculture

Malakhi Hopkins, Alice Kate Li, Shobhita Kramadhati +8

Common remote sensing modalities (RGB, multispectral, hyperspectral imaging or LiDAR) are often used to indirectly measure crop health and do not directly capture plant stress indi…