Will Floyd-Jones

Papers

Total Citations

112

H-Index

About

Will Floyd-Jones is a leading researcher in robotic motion planning, with a focus on hardware acceleration and programmable architectures. His work addresses the critical bottleneck of computational speed in autonomous robot navigation, particularly in complex, dynamic environments. Floyd-Jones’s most influential contribution is the development of "Robot Motion Planning on a Chip," which constructs robot-specific circuitry to achieve motion planning speeds approximately three orders of magnitude faster than traditional methods—a breakthrough that has garnered 87 citations. He further advanced the field with a programmable architecture for accelerating collision detection and graph search, two core components of motion planning, as detailed in his 2019 paper (25 citations). This programmability allows his designs to be adapted across diverse robotic platforms and applications, from industrial manipulators to autonomous vehicles. Floyd-Jones’s work bridges robotics and computer architecture, demonstrating how custom hardware can overcome the computational limits of software-based planning. His achievements highlight the potential for real-time, on-chip motion planning, making him a key figure in the future of autonomous systems.