Cael Yasutake

Cael Yasutake

Robotics MSE @ UPenn

Lahaina, Hawaii, USA

About Me

I am a robotics master's student at the University of Pennsylvania, working at the intersection of robotics, AI, and high-performance computing. My work focuses on developing efficient, scalable algorithms for motion planning, control, and learning, with an emphasis on real-world robotic systems. I aim to advance robotic autonomy through algorithm design and systems-level optimization.

Basic Info

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Education
University of Pennsylvania
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Focus
GPU IK + Robot Learning
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Stack
CUDA · C/C++ · PyTorch · Python

Experience

Projects

GPU-Accelerated Inverse Kinematics through Batched Hybrid Jacobian Coordinate Descent.

  • Open-source inverse kinematics library designed for fast real-time motion planning.
  • Custom CUDA kernels for batched evaluation at scale.

Reinforcement learning for walking gaits on a custom quadruped robot in simulation.

  • Trained a custom-designed quadruped using reinforcement learning in NVIDIA Isaac Sim / Isaac Lab.

Multi-agent RL environment optimizing gameplay strategies for capture the flag.

  • Designed a multi-agent RL environment and training setup.

Education

Certificates

CUDA Programming Masterclass with C++

General Dynamics Information Technology

Machine Learning and Deep Learning Bootcamp in Python

Udemy

Skills

Programming

Python
C/C++
Java

GPU

CUDA

ML

PyTorch
TensorFlow
scikit-learn

Tools

Git

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© 2026 Cael Yasutake