1 citations · 1 across the 3 of their papers we have counts for
9 papers
Graph Convolutional Memory using Topological Priors
Steven D. Morad, Stephan Liwicki, Ryan Kortvelesy +2
Solving partially-observable Markov decision processes (POMDPs) is critical when applying reinforcement learning to real-world problems, where agents have an incomplete view of the…
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments
Steven D. Morad, Roberto Mecca, Rudra P. K. Poudel +2
We present NavACL, a method of automatic curriculum learning tailored to the navigation task. NavACL is simple to train and efficiently selects relevant tasks using geometric featu…
Building Small-Satellites to Live Through the Kessler Effect
Steven Morad, Himangshu Kalita, Ravi teja Nallapu +1
The rapid advancement and miniaturization of spacecraft electronics, sensors, actuators, and power systems have resulted in growing proliferation of small-spacecraft. Coupled with…
Improving Visual Feature Extraction in Glacial Environments
Steven D. Morad, Jeremy Nash, Shoya Higa +3
Glacial science could benefit tremendously from autonomous robots, but previous glacial robots have had perception issues in these colorless and featureless environments, specifica…
A Spring Propelled Extreme Environment Robot for Off-World Cave Exploration
Steven Morad, Thomas Dailey, Leonard Vance +1
Pits on the Moon and Mars are intriguing geological formations that have yet to be explored. These geological formations can provide protection from harsh diurnal temperature varia…
Coordination and Control of Multiple Climbing Robots in Transport of Heavy Loads through Extreme Terrain
Himangshu Kalita, Steven Morad, Jekan Thangavelautham
The discovery of ice deposits in the permanently shadowed craters of the lunar North and South Pole Moon presents an important opportunity for In-Situ Resource Utilization. These i…