Jisang Park

Jisang Park

jisangp at stanford dot edu

I am a Stanford MSCS student and robotics researcher at the IPRL Lab & REAL Lab, where I am co-advised by Jeannette Bohg and Shuran Song. I am fortunate to be directly mentored by Dian Wang and to work closely with Xiaomeng Xu and Han Zhang. Before Stanford, I spent 1.5+ years as a Research Scientist at KAIST. My research focuses on data-efficient and generalizable policy learning for long-horizon bimanual mobile manipulation.

Prior to my research path, I co-founded three startups, gained strategic consulting experience at McKinsey & BCG, and majored in Business Administration and Computer Science. This background motivates my focus on translating robotics research into practical, impactful products.

CV & Resume (On Request) LinkedIn Google Scholar Github X

News

Research

* Equal contributions.

Projects

Reactive Mobile Manipulation Framework

Skills: ROS2, Behavior Trees, YOLO, SAM, IK, Dynamic & Semantic 3D Scene Graphs

Engineered a real-time ROS2 framework for reactive mobile manipulation by parallelizing YOLO/SAM-based 3D scene graph construction and IK-based control via multi-threaded Behavior Trees.

Reactive Task Planning Benchmark

Skills: Simulation Benchmarking, LLM-based Task Planning

Developed a framework-agnostic benchmark setting for evaluating diverse LLM/VLM-based task-planning frameworks across 100 interruption scenarios in AI2-THOR.

Adaptive Mobile Manipulation Framework

Skills: ROS2, Behavior Trees, MoveIt, Open3D, Force-Torque Sensing, RGBD Sensing

Developed an adaptive manipulation framework combining force-torque-sensor-based collision recovery, 3D pose-driven action adaptation, and MoveIt/Open3D manipulability analysis in dynamic environments.

Voice-Based Robot Navigation Framework

Skills: ROS2, RViz, Qt, NVIDIA Riva ASR, Natural-Language Grounding, 2D LiDAR

Developed a voice-based robot navigation framework through a Qt-based RViz plugin integrating NVIDIA Riva ASR, natural-language goal grounding on a 2D LiDAR map, and ROS2 navigation stacks.

Service

Reviewer

Teaching

  • Digital Computer Concept and Practice, Undergraduate Course Assistant, Fall 2021 - Spring 2022, Seoul National University
  • Core Computing: Thinking with Computers, Undergraduate Tutor, Fall 2021, Seoul National University
  • Basic Computing: First Adventures in Computing, Undergraduate Tutor, Fall 2021, Seoul National University

Talks

Education

Stanford University M.S. in Computer Science Sep 2025 - Jun 2027 (Expected)

Advisors: Jeannette Bohg and Shuran Song

Seoul National University B.S. in Computer Science & Engineering, B.B.A. in Business Administration Mar 2017 - Aug 2022

Grade: GPA 3.90/4.00 (Summa Cum Laude)