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J. Freeman

4 papers hereh-index 462 citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO4
same name
  • J. Freeman — 141 papers
  • J. Freeman — 29 papers
  • J. Freeman — 21 papers, h 108
  • J. Freeman — 19 papers
  • J. Freeman — 17 papers, h 71
  • J. Freeman — 12 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.RO2024

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…

cs.RO2024

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…

cs.RO2024

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…

cs.RO2024

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…

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