Diana Carrier

University of Manitoba

Papers

2

Total Citations

29

H-Index

2

About

Diana Carrier is a robotics researcher specializing in humanoid locomotion and adaptive control for challenging environments. Her work focuses on designing stable, efficient gait patterns for bipedal robots operating on unpredictable surfaces, such as ice or uneven terrain. Carrier’s most-cited paper, "Gait design for an ice skating humanoid robot" (2013, 25 citations), introduced a novel approach to bipedal skating by modeling the sliding dynamics of ice contact, enabling a humanoid robot to maintain balance while gliding forward—a significant step toward robots that can navigate slippery urban or polar settings. She further advanced this line of inquiry with "Fuzzy Logic Control of a Humanoid Robot on Unstable Terrain" (2015, 4 citations), where she applied fuzzy logic to adjust joint torques in real time, allowing the robot to recover from unexpected perturbations without pre-programmed responses. Though her citation counts are modest, Carrier’s contributions are notable for their pioneering focus on low-friction locomotion, a niche that has gained relevance as robotics expands into outdoor and disaster-response applications. Her work bridges control theory and mechanical design, offering practical insights for engineers building robots that must walk, skate, or scramble over surfaces that defy traditional bipedal models.

Research Focus

Key Achievements

2
H-Index
2
Papers
29
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Gait design for an ice skating humanoid robot
25 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Manitoba

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago