Papers
2
Total Citations
11
H-Index
2
About
Jihao Li is a robotics researcher whose work bridges perception and manipulation, with key contributions in mobile robot navigation and adaptive grasping. His early research established a robust method for drivable area detection in indoor environments, using homography-based ground detection with binocular cameras—a foundational approach that has garnered 7 citations for enabling safer autonomous navigation. More recently, Li has advanced the field of robotic manipulation through his work on under-actuated robotic grippers. His 2024 paper introduces a novel gripper design inspired by the human finger, capable of multiple grasping modes to overcome the traditional trade-off between mechanical simplicity and adaptability. This work, already accumulating 4 citations, addresses a critical limitation in under-actuated systems—poor versatility—by mimicking the human hand’s dexterity. Li’s research demonstrates a clear trajectory from environmental perception to interactive manipulation, reflecting a deep understanding of both the hardware and algorithmic challenges in robotics. His contributions are particularly valuable for students and researchers interested in practical, bio-inspired solutions for real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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