2 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.RO2025
ATLASv2: LLM-Guided Adaptive Landmark Acquisition and Navigation on the Edge
Mikolaj Walczak, Uttej Kallakuri, Tinoosh Mohsenin
Autonomous systems deployed on edge devices face significant challenges, including resource constraints, real-time processing demands, and adapting to dynamic environments. This wo…