Scholar
Bo Fu
Google Scholar ID: gt8h7P0AAAAJ
Amazon Robotics
Citations & Impact
Citations
130
H-index
6
i10-index
6
Publications
11
Co-authors
9
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Successfully defended Ph.D. dissertation: A Learning and Planning Framework for Robust Task Allocation for Heterogeneous Robot Teams; - Gave a presentation at IROS 2023; - Published a paper in IEEE Transactions on Robotics: Robust Task Scheduling for Heterogeneous Robot Teams Under Capability Uncertainty; - Presented a workshop paper at ICRA 2022 Workshop on Collaborative Robots and the Work of the Future; - Published a new paper in ASME Journal of Autonomous Vehicles and Systems: Simultaneous human-robot matching and routing for multi-robot tour guiding under time uncertainty; - Co-authored a paper presented at 2021 Winter Simulation Conference; - Presented a new paper at IROS 2020: Heterogeneous Vehicle Routing and Teaming with Gaussian Distributed Energy Uncertainty.
Research Experience
- - Applied Scientist at Amazon Robotics, developing advanced optimization and learning algorithms as well as planning and simulation tools to improve the efficiency and reliability of multi-robot systems in Amazon fulfillment centers; - Completed an internship (Applied Scientist II Intern) at Amazon Robotics.
Education
- - Ph.D. in Robotics from the University of Michigan, Advisors: Kira Barton and Maani Ghaffari Jadidi; - M.S. from Carnegie Mellon University, Advisor: Nathan Michael; - B.S. in Vehicle Engineering, Research Focus: Control strategies for hybrid electric vehicles.
Background
- Research Interests: Decision making and path planning for multi-robot systems under uncertainty. Professional Field: Robotics, optimization algorithms, learning algorithms.
