Papers
7
Total Citations
43
H-Index
4
About
Dr. Charles Lo is a pioneering researcher in the intersection of medical robotics and distributed multi-robot systems, with a career spanning over two decades. His most significant contributions lie in image-guided robotic neurosurgery, where his seminal 2009 work on point accuracy evaluation—garnering 20 citations—established critical benchmarks for in vitro and in vivo surgical precision. Dr. Lo's research has been instrumental in advancing robotic skull-base surgery, a field he explored as early as 2001 with hexapod intervention planning and continued through 2005, addressing the immense challenges of drilling through complex cranial structures to access deep-seated tumors. Beyond the operating room, he has made notable strides in cooperative mobile robotics, developing a CORBA-based framework (2008-2009) that enables collaborative control and simulation of multiple robots in indoor environments—a system that has influenced subsequent work in distributed autonomy. His 2010 study on anisotropy-based motion control for omni-directional mobile robots further demonstrates his versatility. With a portfolio that includes robot virtual assembly using Java3D collision detection, Dr. Lo's work bridges theoretical robotics with practical, high-stakes applications, leaving a lasting impact on both surgical precision and multi-agent coordination.
Research Focus
Key Achievements
Top Papers
- 1
- 2A CORBA‐based cooperative mobile robot system7 citations · 2009
- 3Robotic skull base surgery5 citations · 2005
- 4A CORBA-based simulation and control framework for mobile robots4 citations · 2008
- 5Robot Virtual Assembly Based on Collision Detection in Java3D3 citations · 2009
- 6
- 7Hexapod Intervention Planning for a Robotic Skull-Base Surgery System2 citations · 2001