Jianpeng Ma

Papers

1

Total Citations

2

H-Index

1

About

Jianpeng Ma is a robotics researcher whose work centers on dexterous manipulation, tactile sensing, and autonomous grasping—critical frontiers in enabling robots to interact with the physical world as adeptly as humans. His most notable contribution, the paper "PP-Tac: Paper Picking Using Omnidirectional Tactile Feedback in Dexterous Robotic Hands" (2025), introduces a novel framework that integrates omnidirectional tactile feedback into multi-fingered robotic hands for precise, delicate tasks like picking up individual sheets of paper. This work addresses a long-standing challenge in robotics: handling thin, deformable objects without damage or failure. Though early in its citation trajectory (2 citations), PP-Tac represents a significant step toward more human-like manipulation, with potential applications in manufacturing, logistics, and service robotics. Ma’s research is distinguished by its fusion of hardware design, sensor processing, and control algorithms—a holistic approach that pushes the boundaries of what robotic hands can achieve. As a rising figure in the field, his work is already inspiring follow-up studies on tactile-driven grasping strategies. For students and researchers, Ma’s contributions offer a compelling glimpse into the future of robots that can feel and adapt, bridging the gap between rigid automation and fluid, intelligent interaction.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
PP-Tac: Paper Picking Using Omnidirectional Tactile Feedback in Dexterous Robotic Hands
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago