Seokhyun Kim

I am a robotics researcher interested in designing, building, and controlling robotic systems. My work spans mechanical design, sensing, embedded systems, simulation, and control, with an emphasis on turning research ideas into working robotic platforms.

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About

I enjoy taking robotic systems from an idea to a working prototype.

I am a graduate researcher in Mechanical Engineering at Carnegie Mellon University. My interests span robot design, locomotion, sensing, control, embedded systems, and state estimation.

I am especially interested in projects that require close integration between hardware and software, where mechanical design, sensing, and control have to be developed together for the robot to work reliably.

Research

Research across legged, underwater, aerial, and bio-inspired robotic systems.

Little quadruped robot next to a 9V battery for scale.

Current-based proprioception · Small-scale locomotion

Little Quadruped Robot

A fully untethered centimeter-scale quadruped that uses motor current as a source of proprioceptive leg feedback. A neural-network classifier estimates stance and swing, providing contact events for closed-loop gait coordination without joint encoders or dedicated foot-contact sensors.

Motor current sensing Embedded systems Machine learning MuJoCo
HUMRS underwater snake robot undergoing testing in a pool.

Underwater robotics · State estimation

HUMRS

Research on an articulated underwater robot involving ROS integration, vision-based state estimation, and mechanical design for underwater operation. The work combines system integration with practical design considerations for reliable testing in water.

ROS VINS-Fusion Vision-based state estimation Waterproof design
Cat-inspired aerial self-righting robot with an actuated spine and tail.

Aerial self-righting · Bio-inspired robotics

Cat-Inspired Robot

A bio-inspired robot that combines an actuated spine and tail for aerial self-righting. The platform is used to study how multiple body-reorientation strategies can work together during rapid recovery maneuvers.

Self-righting Reinforcement learning MuJoCo Mechanical design
Simulation of whole-body quadruped coordination with limb linkages and contact markers.

Decentralized coordination · Bio-inspired control

Whole-Body Quadruped Coordination

Research on emergent inter-limb and body–limb coordination using decentralized control. The work explores how coordinated locomotion can arise without prescribing complete foot trajectories.

CPG GRF feedback Whole-body coordination

Projects

Hands-on robotics and mechatronics projects outside the research section.

Self-balancing motorcycle prototype with a reaction wheel.

Mechatronics · Feedback control

Self-Balancing Motorcycle with Reaction Wheel

A self-balancing motorcycle project that uses a reaction wheel to generate corrective torque and stabilize the vehicle. The project combines mechanical design, sensing, actuation, and feedback control.

Prototype volumetric display hardware with a dense LED array and supporting electronics.

Display hardware · Embedded electronics

Volumetric Display

A volumetric display project integrating a dense LED array, custom mechanical structure, and embedded electronics to explore three-dimensional visual display concepts.

CV

Academic background & technical skills

Education

2025–present Carnegie Mellon University

M.S. in Mechanical Engineering

2021–2025 Tohoku University

B.Eng. in Electrical, Information and Physics Engineering

Technical skills

  • Python, MATLAB, C/C++, and embedded firmware
  • ROS, MuJoCo, and simulation-based control development
  • Machine learning model training and deployment
  • VINS-Fusion and vision-based state estimation
  • CAD, 3D printing, electronics integration, and PCB-related hardware work

Professional profile

Additional background, experience, and updates are available on LinkedIn.

Contact

Let’s connect

If you would like to talk about robotics research, collaboration, or related opportunities, feel free to reach out.