Zhiye Ren

Guangzhou University

Papers

3

Total Citations

7

H-Index

2

About

Zhiye Ren is a robotics researcher focused on advancing autonomous systems for complex, real-world manipulation and navigation tasks. His work centers on three key areas: robot path planning in challenging environments, the design of heavy-duty automated loading systems, and robust control strategies for long-arm manipulators. Ren’s most cited paper introduces the MIHE-RRT algorithm, a novel path planner that uses a multi-indicator heuristic and Hammersley sequence sampling to dramatically improve efficiency and safety in cluttered spaces. He also designed a fully automatic loading robot capable of handling multi-specification cargoes, directly addressing high logistics costs and low handling efficiency. To solve the control instability of long-arm, heavy-load robots, Ren developed an adaptive sliding mode controller that mitigates end-effector buffeting, enhancing precision and operational stability. With a growing citation count and a clear trajectory from algorithm design to full system integration, Ren is establishing himself as a practical innovator in field robotics.

Research Focus

Key Achievements

2
H-Index
3
Papers
7
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Indicator Heuristic Evaluation-Based Rapidly Exploring Random Tree Algorithm for Robot Path Planning in Complex Environments
3 citations · 2025
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Guangzhou University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago