Papers

2

Total Citations

8

H-Index

2

About

Sean Smith is a rising force in collaborative robotics and advanced nonlinear control, whose work is shaping the future of human-robot interaction. His research centers on developing intelligent control systems that allow robots to work safely and efficiently alongside humans, leveraging the complementary strengths of both. Smith’s major contributions include a comprehensive 2024 survey on planning and control for collaborative robotics, which has already garnered 5 citations and serves as a foundational reference for researchers entering the field. He has also pioneered an adaptive task-space nonsingular terminal super-twisting sliding mode controller for a 7-DOF robotic manipulator, a breakthrough that effectively eliminates chattering while ensuring robust trajectory tracking under unknown disturbances. This 2025 work, with 3 citations, demonstrates his ability to solve persistent challenges in robotic control. Smith’s achievements are notable for their immediate impact—both papers are recent yet already cited—and for addressing critical gaps in cobot safety and precision. His research promises to make industrial robots more adaptable and reliable, positioning him as a key contributor to the next generation of collaborative automation.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Survey on Recent Advances in Planning and Control for Collaborative Robotics
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Dalhousie University, Institut polytechnique de Grenoble

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago