Paolo Cheli
Papers
1
Total Citations
10
H-Index
1
About
Paolo Cheli is a rising researcher in the field of soft robotics and dexterous manipulation, with a focus on enabling robots to grasp and handle objects more reliably. His work centers on the intersection of soft hand design and intelligent control, addressing the unique challenges posed by highly compliant end-effectors. Cheli’s most cited paper, “Learning to Prevent Grasp Failure with Soft Hands: From Online Prediction to Dual‐Arm Grasp Recovery” (2021, 10 citations), introduces a framework that leverages the intrinsic adaptability of soft hands to simplify grasp planning while overcoming the limitations of traditional sensing techniques. This work demonstrates how online failure prediction and dual-arm recovery strategies can significantly improve grasp robustness. By tackling the sensing and control challenges specific to soft hands, Cheli is helping to bridge the gap between the theoretical benefits of compliant manipulation and practical, real-world deployment. His contributions are particularly valuable for applications in unstructured environments, such as assistive robotics and industrial automation, where adaptability and reliability are paramount. As the field of soft robotics continues to expand, Cheli’s research is laying important groundwork for more resilient and capable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1