3 citations · 5 across the 7 of their papers we have counts for
10 papers
QuasiNav: Asymmetric Cost-Aware Navigation Planning with Constrained Quasimetric Reinforcement Learning
Jumman Hossain, Abu-Zaher Faridee, Derrik Asher +4
Autonomous navigation in unstructured outdoor environments is inherently challenging due to the presence of asymmetric traversal costs, such as varying energy expenditures for uphi…
SERN: Bandwidth-Adaptive Cross-Reality Synchronization for Simulation-Enhanced Robot Navigation
Jumman Hossain, Emon Dey, Snehalraj Chugh +15
Cross reality integration of simulation and physical robots is a promising approach for multi-robot operations in contested environments, where communication may be intermittent, i…
EnCoMP: Enhanced Covert Maneuver Planning with Adaptive Threat-Aware Visibility Estimation using Offline Reinforcement Learning
Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy +3
Autonomous robots operating in complex environments face the critical challenge of identifying and utilizing environmental cover for covert navigation to minimize exposure to poten…
TopoNav: Topological Navigation for Efficient Exploration in Sparse Reward Environments
Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy +3
Autonomous robots exploring unknown environments face a significant challenge: navigating effectively without prior maps and with limited external feedback. This challenge intensif…
Enhancing Robotic Navigation: An Evaluation of Single and Multi-Objective Reinforcement Learning Strategies
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 w…
CoverNav: Cover Following Navigation Planning in Unstructured Outdoor Environment with Deep Reinforcement Learning
Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy +2
Autonomous navigation in offroad environments has been extensively studied in the robotics field. However, navigation in covert situations where an autonomous vehicle needs to rema…
Follow the Soldiers with Optimized Single-Shot Multibox Detection and Reinforcement Learning
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. The main goal…
Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation
Jumman Hossain
Nowadays, autonomous vehicles are gaining traction due to their numerous potential applications in resolving a variety of other real-world challenges. However, developing autonomou…
Ranking the locations and predicting future crime occurrence by retrieving news from different Bangla online newspapers
Jumman Hossain, Rajib Chandra Das, Md. Ruhul Amin +1
There have thousands of crimes are happening daily all around. But people keep statistics only few of them, therefore crime rates are increasing day by day. The reason behind can b…
SynchroSim: An Integrated Co-simulation Middleware for Heterogeneous Multi-robot System
Emon Dey, Jumman Hossain, Nirmalya Roy +1
With the advancement of modern robotics, autonomous agents are now capable of hosting sophisticated algorithms, which enables them to make intelligent decisions. But developing and…