Phillip B. Gibbons
Papers
7
Total Citations
71
H-Index
5
About
Phillip B. Gibbons is a prominent computer systems researcher whose work sits at the compelling intersection of robotics computing, hardware architecture, and performance benchmarking. His research addresses a critical challenge in modern robotics: bridging the gap between algorithmic demands and the hardware systems that must execute them efficiently and in real time. Gibbons has made significant contributions through the development of robotics benchmarking infrastructure, most notably RTRBench and RobotPerf — an open-source, vendor-agnostic suite built on ROS 2 that enables systematic performance evaluation across diverse hardware platforms. These tools, which have collectively garnered over 30 citations, directly empower the research community to make principled hardware-software co-design decisions. His RACOD work (19 citations) exemplifies this philosophy, delivering a hardware accelerator for collision detection using an innovative MapReduce-style computational model paired with algorithmic extensions for robotic path planning. Beyond benchmarking, Gibbons has explored purpose-built processor design through the Tartan CPU architecture, optimized for robotic kernels, and contributed early visionary work on the Claytronics modular robotics project. Together, his contributions represent a sustained effort to give robotics researchers the computational foundations their increasingly autonomous systems demand.
Research Focus
Key Achievements
Top Papers
- 1RACOD19 citations · 2022
- 2
- 3RTRBench: A Benchmark Suite for Real-Time Robotics14 citations · 2022
- 4Claytronics9 citations · 2005
- 5Agents of Autonomy: A Systematic Study of Robotics on Modern Hardware7 citations · 2023
- 6Tartan: Microarchitecting a Robotic Processor4 citations · 2024
- 7Agents of Autonomy: A Systematic Study of Robotics on Modern Hardware2 citations · 2024