activity
20162026
most citedCharacterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models

36 citations · 69 across the 50 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

AeroGen: Agentic Drone Autonomy through Single-Shot Structured Prompting & Drone SDK

Kautuk Astu, Yogesh Simmhan

Designing correct UAV autonomy programs is challenging due to joint navigation, sensing and analytics requirements. While LLMs can generate code, their reliability for safety-criti…

cs.RO2025

Towards Perception-based Collision Avoidance for UAVs when Guiding the Visually Impaired

Suman Raj, Swapnil Padhi, Ruchi Bhoot +2

Autonomous navigation by drones using onboard sensors combined with machine learning and computer vision algorithms is impacting a number of domains, including agriculture, logisti…

cs.RO2025★ 1 cited

NeoARCADE: Robust Calibration for Distance Estimation to Support Assistive Drones for the Visually Impaired

Suman Raj, Bhavani A Madhabhavi, Madhav Kumar +2

Autonomous navigation by drones using onboard sensors, combined with deep learning and computer vision algorithms, is impacting a number of domains. We examine the use of drones to…

cs.RO2021

CORNET 2.0: A Co-Simulation Middleware for Robot Networks

Srikrishna Acharya, Bharadwaj Amrutur, Mukunda Bharatheesha +1

We present a networked co-simulation framework for multi-robot systems applications. We require a simulation framework that captures both physical interactions and communications a…

cs.RO2021

Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions

Aakash Khochare, Yogesh Simmhan, Francesco Betti Sorbelli +1

Unmanned Aerial Vehicles (UAVs) or drones are increasingly used for urban applications like traffic monitoring and construction surveys. Autonomous navigation allows drones to visi…