Taming event cameras with bio-inspired architecture and algorithm: A case for drone obstacle avoidance

J Xu, D Li, Z Yang, Y Zhao, H Cao, Y Liu… - Proceedings of the 29th …, 2023 - dl.acm.org
Fast and accurate obstacle avoidance is crucial to drone safety. Yet existing on-board
sensor modules such as frame cameras and radars are ill-suited for doing so due to their …

Cooperation and Fairness in Multi-Agent Reinforcement Learning

JJ Aloor, SN Nayak, S Dolan… - Journal on Autonomous …, 2024 - dl.acm.org
Multi-agent systems are trained to maximize shared cost objectives, which typically reflect
system-level efficiency. However, in the resource-constrained environments of mobility and …

Strategic Planning of Aerial Assets for Disaster Response: Enabling Efficient and Equitable Access to Drone-Based Search Resources

C Chin, A Saravanan, H Balakrishnan… - 15th USA/Europe Air …, 2023 - par.nsf.gov
The rapid deployment of fleets of small, uncrewed aircraft (drones) in the immediate
aftermath of a natural disaster to search impacted regions for people in need of rescue is …

Strategic Planning of Aerial Assets for Disaster Response

C Chin, A Saravanan, H Balakrishnan… - Journal of Air …, 2024 - arc.aiaa.org
The rapid deployment of fleets of small, uncrewed aircraft (drones) in the immediate
aftermath of a natural disaster to search impacted regions for people in need of rescue is …

Chanakya: learning runtime decisions for adaptive real-time perception

A Ghosh, V Balloli, A Nambi… - Advances in Neural …, 2024 - proceedings.neurips.cc
Real-time perception requires planned resource utilization. Computational planning in real-
time perception is governed by two considerations--accuracy and latency. There exist run …

Strategic Planning and Deployment of Aerial Assets

A Saravanan - 2024 - dspace.mit.edu
The rapid deployment of fleets of small, uncrewed aircraft (drones) for tasks like package
delivery or search-and-rescue in the immediate aftermath of a natural disaster are some of …