Hanyoung Jang

About

Hanyoung Jang is a robotics researcher whose work focuses on enabling real-time, human-like manipulation for service robots operating in cluttered, dynamic environments. His core research areas include spatial reasoning, 3D workspace modeling, and accessibility analysis for robotic grasping. Jang’s most significant contribution is a visibility-based accessibility analysis framework that allows robots to determine optimal grasp points by reasoning about occlusions and object reachability in real time—a critical capability for autonomous manipulation. His foundational 2005 paper on this topic has garnered 29 citations, while his 2006 work on spatial reasoning for real-time manipulation has been cited 16 times. Jang also advanced memory-efficient 3D mapping with his octree-based algorithm that fuses plane features and point clouds, enabling mobile robots to build compact, real-time maps using time-of-flight cameras. His 2008 integrated approach toward human-like manipulation—spanning perception to motion planning—demonstrated how robots can mimic human dexterity in everyday tasks. Collectively, Jang’s work bridges perception and action, providing practical solutions for robots to navigate and interact with unstructured human environments.

Research Focus

Key Achievements

Top Papers

1. 1
   A visibility-based accessibility analysis of the grasp points for real-time manipulation

   29 citations · 2005
2. 2
   Spatial Reasoning for Real-time Robotic Manipulation

   16 citations · 2006
3. 3
   Visibility-based spatial reasoning for object manipulation in cluttered environments

   13 citations · 2008
4. 4
   Toward Human-Like Real-Time Manipulation: From Perception to Motion Planning

   6 citations · 2008
5. 5
   Memory-efficient real-time map building using octree of planes and points

   4 citations · 2013

Key Collaborators

Contact & Links