Per Henrik Borgstrom
University of California, Los Angeles, Embedded Systems (United States)
Papers
8
Total Citations
342
H-Index
7
About
Per Henrik Borgstrom is a robotics researcher whose work centers on cable-driven robotic systems, with particular expertise in motion planning, tension optimization, and autonomous sensing applications. His most significant contribution is a novel linear-program formulation for computing optimally safe tension distributions in parallel cable-driven robots, introduced through a clever slack variable approach that dramatically reduces computational overhead — a paper that has accumulated 132 citations and remains a foundational reference in the field. Borgstrom is also closely associated with the development of the NIMS (Networked InfoMechanical System) family of robots, including the planar NIMS-PL and the three-dimensional NIMS3D platforms, which together represent a coherent research program in rapidly deployable, self-calibrating robotic systems designed for real-world actuated sensing in challenging environments such as aquatic ecosystems. His work on trajectory control, energy-efficient path planning, and online drift correction demonstrates a comprehensive approach that bridges theoretical rigor with practical field deployment. With over 340 total citations across his key publications, Borgstrom's contributions have meaningfully advanced the design principles, control algorithms, and environmental applications of cable-driven robotics, making his work essential reading for researchers entering this domain.
Research Focus
Key Achievements
Top Papers
- 1
- 2NIMS-PL: A Cable-Driven Robot With Self-Calibration Capabilities91 citations · 2009
- 3
- 4
- 5Energy based path planning for a novel cabled robotic system16 citations · 2008
- 6NIMS3D: A Novel Rapidly Deployable Robot for 3-Dimensional Applications15 citations · 2006
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- 8