Papers
9
Total Citations
49
H-Index
4
About
Jialun Yang’s research lies at the intersection of humanoid robotics and mechanism theory, with a particular focus on state classification, motion planning, and the type synthesis of parallel mechanisms. Yang is best known for foundational work on the SJTU-HR1 humanoid robot, where they developed a systematic framework for classifying robot states—lying, sitting, standing, and the transitions between them—decoupling motion planning into topological state planning and detailed motion execution. This approach, detailed in papers such as “Classification of Lying States for the Humanoid Robot SJTU-HR1” (12 citations) and “Classification of Sitting States for the Humanoid Robot SJTU-HR1” (7 citations), has been influential in structuring how humanoid robots manage complex, multi-phase movements. Beyond humanoids, Yang introduced the Generalized Function Sets (GF Sets) as a novel performance criterion for mechanisms, enabling more systematic type synthesis of parallel mechanisms with specific rotational capabilities. This work, published in “The GF Sets: A New Kind of Performance Criterion of Mechanisms” (4 citations), offers a natural law for kinematic mobility that advances the design of robotic end-effectors. With over 45 cumulative citations, Yang’s contributions continue to inform both humanoid motion planning and parallel mechanism design.
Research Focus
Key Achievements
Top Papers
- 1Classification of lying states for the humanoid robot SJTU-HR112 citations · 2009
- 2
- 3Classification of sitting states for the humanoid robot SJTU-HR17 citations · 2011
- 4The GF Sets: A New Kind of Performance Criterion of Mechanisms4 citations · 2012
- 5
- 6State Classification for Humanoid Robots4 citations · 2008
- 7Classification of Standing States for the Humanoid Robot SJTU-HR13 citations · 2009
- 8State Classification for Humanoid Robots3 citations · 2008
- 9Type Synthesis of Parallel Mechanisms Having Two Rotations2 citations · 2010