Papers
1
Total Citations
2
H-Index
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About
Haihan Wu is a leading researcher in reconfigurable computing and autonomous robotics, with a primary focus on energy-efficient hardware acceleration for visual-inertial odometry (VIO) systems. His most cited work, "A Reconfigurable Visual–Inertial Odometry Accelerated Core with High Area and Energy Efficiency for Autonomous Mobile Robots" (2022), addresses a critical bottleneck in autonomous mobile robots (AMRs): the high algorithmic complexity of VIO systems that integrate cameras and inertial measurement units (IMUs). Wu’s major contribution lies in designing a reconfigurable hardware core that dramatically improves area and energy efficiency, enabling real-time positioning without sacrificing performance. This innovation is pivotal for resource-constrained AMRs, offering a scalable solution for applications from warehouse logistics to autonomous navigation. With 2 citations to date, his work is gaining traction among researchers seeking to bridge the gap between algorithm complexity and practical hardware implementation. Wu’s achievements highlight his ability to tackle real-world engineering challenges, making him a notable figure in the intersection of reconfigurable architectures and robotics. His research promises to accelerate the deployment of efficient, autonomous systems in dynamic environments.
Research Focus
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Top Papers
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