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Yongbin Jin

4 accepted papers

2025

DotTip: Enhancing Dexterous Robotic Manipulation With a Tactile Fingertip Featuring Curved Perceptual Morphology

RA-L 2025

Tactile sensing technologies enable robots to interact with the environment in increasingly nuanced and dexterous ways. A significant gap in this domain is the absence of curved tactile sensors, which are essential for performing sophisticated manipulation tasks. In this study, we present DotTip, a

Cited by 5SourceScholar
2025

Optimal Design of High-Dynamic Robotic Arm Based on Angular Momentum Maximum

RA-L 2025

In industrial applications, precision and load capacity are critical performance metrics for robotic arms. These requirements are typically addressed using high-gear-ratio designs. However, robotic arms are increasingly tasked with high-dynamic operations, such as smashes in sports and object throwi

Cited by 1SourceScholar
2023

DotView: A Low-Cost Compact Tactile Sensor for Pressure, Shear, and Torsion Estimation

RA-L 2023

Tactile sensation is one of the most important sensing methods of humans, which helps humans complete complex decisions and actions by itself or in cooperation with other sensations. Similarly, tactile sensors are also crucial for robots to interact with the environment and fulfill dexterous object

Cited by 18SourceScholar
2022

Learning Free Gait Transition for Quadruped Robots Via Phase-Guided Controller

RA-L 2022

Gaits and transitions are key components in legged locomotion. For legged robots, describing and reproducing gaits as well as transitions remain longstanding challenges. Reinforcement learning has become a powerful tool to formulate controllers for legged robots. Learning multiple gaits and transiti

Cited by 86SourcecodeScholar