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About

Puttichai Lertkultanon is a roboticist whose research focuses on the intersection of motion planning, manipulation, and kinodynamic constraints. His most significant contribution is the development of **Admissible Velocity Propagation (AVP)**, a groundbreaking algorithm that extends the classic path-velocity decomposition technique beyond quasi-static assumptions. AVP enables high-dimensional robots to plan time-optimal trajectories that respect both geometric and dynamic constraints, a critical capability for real-world robotic systems. This work, published in 2016, has garnered 53 citations and represents a key advancement in kinodynamic planning. Lertkultanon has also made notable contributions to **non-prehensile manipulation**, demonstrating how robots can efficiently transport objects without grasping them by explicitly modeling reaction and friction forces—a challenging problem that yields faster and more energy-efficient solutions. His work on **single-query manipulation planners** addresses the complexity of planning in composite configuration spaces that include both the robot and movable objects. With a publication record spanning from 2014 to 2016, Lertkultanon’s research provides foundational tools for enabling robots to move and manipulate objects dynamically, bridging the gap between geometric path planning and real-world physical constraints.