5 papers
Beyond Policy Support: Interaction Constrained Offline Reinforcement Learning for Autonomous Driving
Mahmoud Selim, Cristina Cipriani, Karl Henrik Johansson
Offline reinforcement learning enables reward-driven policy improvement from fixed datasets without requiring online exploration, making it particularly attractive in safety-critic…
AeroGen: Structured Prompting for Low-Code Drone-as-a-Service Mission Composition
Kautuk Astu, Yogesh Simmhan
Developing autonomous drone applications requires developers to compose navigation, sensing, analytics and compute services while satisfying physical and environmental constraints.…
AeroDaaS: A Programmable Drones-as-a-Service Platform for Intelligent Aerial Systems
Kautuk Astu, Suman Raj, Priyanshu Pansari +1
The increasing adoption of UAVs equipped with advanced sensors and GPU-accelerated edge computing has enabled real-time AI-driven applications in domains such as precision agricult…
AeroDaaS: Towards an Application Programming Framework for Drones-as-a-Service
Suman Raj, Rajdeep Singh, Kautuk Astu +1
The increasing adoption of UAVs with advanced sensors and GPU-accelerated edge computing has enabled real-time AI-driven applications in fields such as precision agriculture, wildf…
Ocularone-Bench: Benchmarking DNN Models on GPUs to Assist the Visually Impaired
Suman Raj, Bhavani A Madhabhavi, Kautuk Astu +3
VIP navigation requires multiple DNN models for identification, posture analysis, and depth estimation to ensure safe mobility. Using a hazard vest as a unique identifier enhances…