Daniel T. Gladwin

University of Sheffield

Papers

3

Total Citations

22

H-Index

2

About

Daniel T. Gladwin is a robotics researcher specializing in novel locomotion systems, control theory, and the design of dynamically balancing robots for challenging environments. His most significant contribution is the development of the **collinear Mecanum drive (CMD)**—a groundbreaking omnidirectional locomotion system that enables robots to move in any direction while maintaining dynamic balance, all within a remarkably thin ground footprint. This work, detailed in his 2020 paper (17 citations), includes modeling, analysis, and nonlinear control strategies that push the boundaries of ground-based robot mobility. Gladwin also addresses the practical challenges of deploying such systems in confined, cluttered, and hazardous spaces, such as those found in grid-scale battery storage facilities, as explored in his 2018 and 2019 papers. His research bridges the gap between aerial vehicle trajectory generation techniques and ground-based unstable robots, offering smooth, velocity-constrained path planning for underactuated systems. With a focus on remote inspection and safety-critical applications, Gladwin’s work is driving innovation in robotics for inaccessible environments, making him a notable figure in the field of dynamic locomotion and control.

Research Focus

Key Achievements

2
H-Index
3
Papers
22
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Collinear Mecanum Drive: Modeling, Analysis, Partial Feedback Linearization, and Nonlinear Control
17 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Sheffield

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago