Joshua Chesser — accepted AI-conference papers

2024

MexGen: An Effective and Efficient Information Gain Approximation for Information Gathering Path Planning

Joshua Chesser, Thuraiappah Sathyan, Damith C. Ranasinghe

RA-L 2024

Autonomous robots for gathering information on objects of interest has numerous real-world applications because of they improve efficiency, performance and safety. Realising autonomy demands online planning algorithms to solve sequential decision making problems under <italic xmlns:mml="http://www.w

Cited by 1 Source ↗Scholar ↗

2020

LAVAPilot: Lightweight UAV Trajectory Planner with Situational Awareness for Embedded Autonomy to Track and Locate Radio-tags

Hoa Van Nguyen, Fei Chen, Joshua Chesser, Hamid Rezatofighi, Damith Ranasinghe

IROS 2020poster

Tracking and locating radio-tagged wildlife is a labor-intensive and time-consuming task necessary in wildlife conservation. In this article, we focus on the problem of achieving embedded autonomy for a resource-limited aerial robot for the task capable of avoiding undesirable disturbances to wildli…

Cited by 31 Source ↗code ↗Scholar ↗