no code implementations • 29 Mar 2024 • Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy, Jade Freeman, Timothy Gregory, Theron T. Trout
ATAVE is a dynamic probabilistic threat modeling technique that we designed to continuously assess and mitigate potential threats in real-time, enhancing the robot's ability to navigate covertly by adapting to evolving environmental and threat conditions.
no code implementations • 6 Feb 2024 • Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy, Jade Freeman, Timothy Gregory, Theron T. Trout
Additionally, TopoNav incorporates intrinsic motivation to guide exploration toward relevant regions and frontier nodes in the topological map, addressing the challenges of sparse extrinsic rewards.
no code implementations • 13 Dec 2023 • Vicki Young, Jumman Hossain, Nirmalya Roy
This study presents a comparative analysis between single-objective and multi-objective reinforcement learning methods for training a robot to navigate effectively to an end goal while efficiently avoiding obstacles.
no code implementations • 12 Aug 2023 • Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy, Anjan Basak, Derrik E. Asher
We evaluate CoverNav using the Unity simulation environment and show that it guarantees dynamically feasible velocities in the terrain when fed with an elevation map generated by another DRL based navigation algorithm.
no code implementations • 2 Aug 2023 • Jumman Hossain, Maliha Momtaz
Nowadays, autonomous cars are gaining traction due to their numerous potential applications on battlefields and in resolving a variety of other real-world challenges.
no code implementations • 20 Jun 2023 • Jumman Hossain
Nowadays, autonomous vehicles are gaining traction due to their numerous potential applications in resolving a variety of other real-world challenges.
no code implementations • 18 May 2023 • Jumman Hossain, Rajib Chandra Das, Md. Ruhul Amin, Md. Saiful Islam
There have thousands of crimes are happening daily all around.