Papers
4
Total Citations
25
H-Index
3
About
Lejun Wang is a robotics and control systems researcher whose work centers on the challenging domain of underactuated robotic systems, with a particular focus on developing innovative control strategies for planar and swarm robotic platforms. Wang's research addresses one of the fundamental difficulties in robotics: achieving stable, precise control in systems where the number of control inputs is fewer than the degrees of freedom, a constraint that demands sophisticated mathematical and algorithmic solutions. Wang's most significant contributions include pioneering finite-time control strategies for swarm planar underactuated robots, combining motion planning with intelligent algorithms to enable coordinated multi-robot task completion efficiently and with minimal energy expenditure. This work, his most cited with 12 citations, demonstrates practical promise for lightweight, gravity-independent robotic systems. Further contributions include a generalizable control method for R-type underactuated manipulators capable of handling diverse initial conditions, including nonzero velocity states, and an iterative contraction stability strategy for prismatic-rotational underactuated configurations grounded in nilpotent approximation theory. Across his growing publication record, Wang consistently bridges theoretical control mathematics with intelligent optimization techniques, establishing a coherent research identity focused on making underactuated robotics more reliable and broadly applicable in real-world engineering contexts.
Research Focus
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Top Papers
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