Eugene Li

Salesforce (United States), McMaster University

Papers

2

Total Citations

95

H-Index

2

About

Eugene Li is a leading researcher in robotics, specializing in motion planning, control systems, and actuator design for safe human-robot interaction. His work addresses fundamental challenges in making robots both powerful and precise while ensuring safety in uncertain environments. Li’s most influential paper, “Reachability-based synthesis of feedback policies for motion planning under bounded disturbances” (2011, 61 citations), introduces a systematic framework for generating robust motion control strategies that account for model uncertainties and environmental disturbances—a critical advancement for real-world robotic applications. He further demonstrates his impact in actuator innovation with “Design, Implementation and Control of an Improved Hybrid Pneumatic-Electric Actuator for Robot Arms” (2019, 34 citations), where he develops a novel rotary hybrid pneumatic-electric actuator (HPEA) that combines high force output with inherent compliance, making it ideal for collaborative robots (cobots). This work bridges the gap between power and safety, enabling robots to work alongside humans without compromising performance. Li’s contributions are shaping the future of robotics, offering practical solutions for robust, safe, and efficient automation in manufacturing, healthcare, and service industries.

Research Focus

Key Achievements

2
H-Index
2
Papers
95
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
Reachability-based synthesis of feedback policies for motion planning under bounded disturbances
61 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Salesforce (United States), McMaster University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago