Oyindamola Omotuyi

Oyindamola Omotuyi is a technical marketing engineer at NVIDIA, working on robotics and robot learning applications on the NVIDIA Isaac Sim, Isaac Lab and Isaac Manipulator platforms. Prior to joining full-time, she interned twice at NVIDIA in Conversational AI and Robotics Product marketing. She earned her Ph.D. in Mechanical Engineering from the University of Cincinnati with a focus on state estimation, imitation learning and deep reinforcement learning for single and multi-agent systems.
Oyindamola Omotuyi

Posts by Oyindamola Omotuyi

Robotics

Enhance Robot Learning with Synthetic Trajectory Data Generated by World Foundation Models

Generalist robotics have arrived, powered by advances in mechatronics and robot AI foundation models. But a key bottleneck remains: robots need vast training... 8 MIN READ
Robotics

Bridging the Sim-to-Real Gap for Industrial Robotic Assembly Applications Using NVIDIA Isaac Lab

Assembly of multiple parts plays a critical role across nearly every major industry such as manufacturing, automotive, aerospace, electronics, and medical... 10 MIN READ
SIM 5.0 lab graphic.
Robotics

Advanced Sensor Physics, Customization, and Model Benchmarking Coming to NVIDIA Isaac Sim and NVIDIA Isaac Lab

At COMPUTEX 2025, NVIDIA announced new updates to its robotics simulation reference application NVIDIA Isaac Sim, and robot learning framework, NVIDIA Isaac... 10 MIN READ
Decorative image.
Robotics

R²D²: Unlocking Robotic Assembly and Contact Rich Manipulation with NVIDIA Research

This edition of NVIDIA Robotics Research and Development Digest (R2D2) explores several contact-rich manipulation workflows for robotic assembly tasks from... 9 MIN READ
Image of two robots in a factory lifting objects with both arms.
Robotics

Accelerate Generalist Humanoid Robot Development with NVIDIA Isaac GR00T N1

Humanoid robots are designed to adapt to human workspaces, tackling repetitive or demanding tasks. However, creating general-purpose humanoid robots for... 7 MIN READ
Robotics

Closing the Sim-to-Real Gap: Training Spot Quadruped Locomotion with NVIDIA Isaac Lab

Developing effective locomotion policies for quadrupeds poses significant challenges in robotics due to the complex dynamics involved. Training quadrupeds to... 12 MIN READ