Kizito Masaba

Amazon.com Inc. Amazon Robotics

prof_pic.jpg

Amazon Robotics

North Reading, MA 01864

I am an Applied Scientist at Amazon Robotics, specializing in multi-agent path optimization for warehouse automation. I recently graduated with a PhD in Computer Science from Dartmouth College. My PhD thesis addresses some of the limitations of low-cost robot teams in exploring large and/or communication constrained environments, such as minimizing the operating costs, mitigating the effect of low computational power, limited energy, poor communication, and obstacles on the overall performance of robots.

Overall, my research interests include multi-agent path finding and multi-robot environment exploration, a field that has applications in environmental monitoring, autonomous driving, precision agriculture, warehouse automation, object tracking, robot manufacturing, and more.

For details about some of my projects, please visit my CV. Thank you for visiting my page!

selected publications

  1. ICRA 2024
    Persistent Monitoring of Large Environments with Robot Deployment Scheduling in between Remote Sensing Cycles
    Kizito Masaba, and Alberto Quattrini Li
    IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024
    HTML PDF
  2. MRS 2023
    Multi-Robot Adaptive Sampling based on Mixture of Experts Approach to Modeling Non-Stationary Spatial Fields
    Kizito Masaba, and Alberto Quattrini Li
    IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS), Boston, MA USA, 2023
    HTML PDF
  3. MRS 2021
    GVGExp: Communication-Constrained Multi-Robot Exploration System based on Generalized Voronoi Graphs
    Kizito Masaba, and Alberto Quattrini Li
    IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS), Cambridge, UK, 2021
    HTML PDF
  4. MRS 2019
    ROS-CBT: Communication Benchmarking Tool for the Robot Operating System: Extended Abstract
    Kizito Masaba, and Alberto Quattrini Li
    IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS), Boston, New Brunswick, NJ, USA, 2019
    HTML PDF
  5. UBICOMP 2019
    Differentiating higher and lower job performers in the workplace using mobile sensing
    Shayan Mirjafari, Kizito Masaba, Ted Grover, and 8 more authors
    ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP), London, UK, 2019
    HTML PDF
  6. ACM CHI 2019
    The tesserae project: Large-scale, longitudinal, in situ, multimodal sensing of information workers
    Stephen M Mattingly, Julie M Gregg, Pino Audia, and 8 more authors
    CHI 2019, 2019
    HTML PDF
  7. UBICOMP 2018
    Sensing behavioral change over time: Using within-person variability features from mobile sensing to predict personality traits
    Weichen Wang, Gabriella M Harari, Rui Wang, and 4 more authors
    ACM UBICOMP 2018, 2018
    HTML PDF
  8. PES 2016
    Design and implementation of a load scheduling embedded system for off grid solar power systems
    Kizito Masaba, Amini Ntakirutimana, and Taha Selim Ustun
    IEEE PES 2016, 2016
    HTML PDF