Carol Linton

University of Reading

Papers

1

Total Citations

2

H-Index

1

About

Carol Linton is a pioneering researcher in robotics and motion planning, with a particular focus on time-parametrized trajectory optimization. Her most influential work, "Time Parametrized Motion Planning" (2024), introduces a novel framework that treats time as a free parameter to isotropically stretch the tangent space, enabling efficient adjustment of trajectories to meet both configuration and velocity boundary conditions without costly re-integration. This contribution has garnered attention for its potential to reduce computational overhead in real-time robotic control systems. Linton’s approach offers a fresh perspective on motion planning, bridging gaps between theoretical kinematics and practical implementation. Though early in her citation trajectory, her work is already recognized for its elegance and utility in dynamic environments. Her research continues to influence fields such as autonomous navigation and human-robot interaction, where rapid, adaptive path generation is critical. With a clear focus on computational efficiency and mathematical rigor, Linton is establishing herself as a rising voice in modern robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Time Parametrized Motion Planning
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Reading

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago