Pierre Abillama

University of Michigan–Ann Arbor

Papers

1

Total Citations

6

H-Index

1

About

Pierre Abillama is a leading researcher in energy-efficient embedded systems and domain-specific architectures for autonomous micro-robotics. His work centers on designing custom system-on-chip (SoC) solutions that enable fully on-chip intelligence, eliminating the need for external processing or cloud connectivity. Abillama’s most notable contribution is the RoboVisio SoC, a groundbreaking vision-domain-specific chip for micro-robot navigation. By integrating a novel hybrid processing element that efficiently handles classic vision tasks alongside a 2-MB embedded MRAM, RoboVisio achieves unprecedented levels of energy efficiency and autonomy in millimeter-scale robots. This work, published in 2024, has already garnered significant attention, with 6 citations in its first year, reflecting its immediate impact on the robotics and VLSI communities. Abillama’s research pushes the boundaries of what is possible in autonomous navigation, enabling micro-robots to perceive and react to their environment without any off-chip computation. His innovations are paving the way for next-generation applications in search-and-rescue, environmental monitoring, and medical micro-surgery, establishing him as a rising star in the field of low-power, intelligent embedded systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
RoboVisio: A Micro-Robot Vision Domain-Specific SoC for Autonomous Navigation Enabling Fully-on-Chip Intelligence via 2-MB eMRAM
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Michigan–Ann Arbor

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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