Jaesung Yang

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About

Jaesung Yang is a robotics researcher whose work focuses on the challenging frontier of large-scale, heavy-object manipulation by humanoid robots. His key research areas include whole-body motion planning, multi-robot coordination, and teleoperation for extreme environments. Yang’s major contributions center on enabling robots to handle payloads beyond their own lifting capacity—not by carrying, but by pushing, pulling, and cooperating. His most cited work, "Massive object transportation by a humanoid robot" (2018, 7 citations), introduces a model-based quadratic programming (QP) approach for generating pushing and pulling motions, a foundational method for non-prehensile manipulation. He extended this concept in "Cooperative massive object transportation by two humanoid robots" (2019, 2 citations), demonstrating how multiple robots can jointly transport heavy loads through coordinated whole-body control. Yang also addresses the unique challenges of space robotics in "Hardware-in-the-loop simulation of massive-payload manipulation on orbit" (2018, 4 citations), tackling communication delays and force control in teleoperated space arm systems. His work bridges the gap between terrestrial heavy-lift robotics and orbital payload handling, offering practical solutions for construction, disaster response, and in-space assembly.