Eric Taylor

Computational Robotics Researcher

PhD in Robotics from Carnegie Mellon University • Senior Robotics Researcher at Robot Motion Planning Research Lab • 12 years in Robotics

With over 12 years in computational robotics research, Eric has contributed to advancing motion planning techniques for complex robotic systems across industrial, service, and autonomous vehicle domains.

What I Write About

Motion Planning Algorithms
Autonomous Navigation
Multi-Robot Systems

My Approach

Effective motion planning requires both mathematical elegance and engineering pragmatism.

My research emphasizes developing principled computational methods that balance theoretical rigor with practical implementation constraints, ensuring robotic systems can operate safely and efficiently in real-world environments.

Featured Writing

Casino Robotics

Robot Motion Planning for Casino Service Robots

Advanced motion planning algorithms enable casino service robots to navigate safely through crowded gaming floors, delivering beverages and assistance while avoiding disruptions to guests and gameplay.

January 10, 2025 8 min read

Casino Robotics

Robot Motion Applications in Automated Casino Logistics

Robot motion systems revolutionize casino logistics by automating inventory handling, supply routing, and material transport while navigating complex floor layouts and adapting to crowd patterns.

January 8, 2025 7 min read

Casino Robotics

Computational Robotics Models for Casino Infrastructure Simulations

Simulation-driven computational robotics frameworks enable casinos to test layout designs, predict visitor flow patterns, and optimize resource allocation before physical implementation.

January 5, 2025 9 min read

Currently Working On

Developing advanced sampling-based algorithms for multi-robot coordination and temporal reasoning in dynamic environments.