Fleet Robotics Inc.-posted 3 months ago
Boston, MA

Fleet Robotics is a green-tech, marine robotics company developing an underwater robot to inspect and maintain ship hulls. At Fleet, we are looking for an experienced roboticist to contribute to the development of novel path-planning algorithms that are robust to the dynamic and unpredictable environments present on ship hulls. Challenges include dealing with harsh and irregular environmental conditions, utilizing limited or varying sensor data, and lack of communication and near-zero visibility while underwater. The ideal candidate has demonstrated the ability to develop custom sensor fusion, localization, and mapping algorithms tailored for dealing with the aforementioned challenges. As one of the company’s early employees, this role offers the ability to make significant contributions to a novel and meaningful environmental application working with a small, close-knit, and fast-paced team.

  • Develop novel localization capabilities for an underwater walking robot with unique sensing capabilities.
  • Integrate localization algorithms on physical robot platforms.
  • Optimize localization performance by tuning algorithm parameters and sensor noise models.
  • Lead testing, evaluation, and analysis efforts, including simulation, in-lab, and in-field testing.
  • Experience with robotics algorithms, particularly state estimation techniques.
  • Understanding of the pros and cons of various localization methods (such as Kalman filters, particle filters, or factor graphs), appropriate use cases for different algorithms, and techniques for tuning parameters to improve localization performance.
  • Experience with software development in C++ and/or Python.
  • Excited to be developing a novel robotic platform.
  • Experience with electronics and sensor integration.
  • Experience with in-field robot testing.
  • Familiarity with robot path planning, graph search, and/or mapping algorithms.
  • Experience working with Eigen and/or GTSAM in C++.
  • Experience working with IMU/accelerometer/gyroscope sensors.
  • Background in computer vision and computational geometry.
  • Familiarity with unit testing framework(s) for Python and/or C++.
  • Familiarity with robotics simulators such as MuJoCo, and/or experience setting up and running large-scale simulation evaluations in such environments.
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