3 papers
cs.RO2025
EDEN: Entorhinal Driven Egocentric Navigation Toward Robotic Deployment
Mikolaj Walczak, Romina Aalishah, Wyatt Mackey +5
Deep reinforcement learning agents are often fragile while humans remain adaptive and flexible to varying scenarios. To bridge this gap, we present EDEN, a biologically inspired na…
cs.AI2025
Is AI currently capable of identifying wild oysters? A comparison of human annotators against the AI model, ODYSSEE
Brendan Campbell, Alan Williams, Kleio Baxevani +11
Oysters are ecologically and commercially important species that require frequent monitoring to track population demographics (e.g. abundance, growth, mortality). Current methods o…
cs.RO2024
AAM-SEALS: Developing Aerial-Aquatic Manipulators in SEa, Air, and Land Simulator
William Yang, Karthikeya Kona, Yashveer Jain +4
Current mobile manipulators and high-fidelity simulators lack the ability to seamlessly operate and simulate across integrated environments spanning sea, air, and land. To address…