Alexander Perkins

Stanford University

Papers

2

Total Citations

7

H-Index

2

About

Alexander Perkins is a robotics researcher whose work focuses on the dynamic control and locomotion of legged systems, particularly bipedal running. His key contributions lie in developing heuristic-based control strategies that enable bipedal robots to perform complex maneuvers such as steady-state running, acceleration, and turning—areas that remain challenging even as walking control becomes more established. In his 2011 paper, "Heuristic control of bipedal running: steady-state and accelerated," Perkins introduced dynamic principles to create a set of heuristics for controlling running and acceleration, addressing unsolved problems in legged robot locomotion. His 2010 work on "Control of Bipedal Turning While Running" further extends these capabilities, demonstrating how robots can change direction while maintaining stability and speed. Though his citation counts are modest (5 and 2 respectively), Perkins' research represents foundational steps toward more agile and versatile bipedal robots, with potential applications in search-and-rescue, exploration, and assistive technologies. His work is particularly notable for bridging theoretical dynamics with practical, implementable control heuristics, offering a pragmatic approach to a notoriously difficult problem in robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Heuristic control of bipedal running: steady-state and accelerated
5 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Stanford University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago